Downloads & Free Reading Options - Results

We propose a simple global computing framework, whose main concern is code migration. Systems are structured in sites, and each site is divided into two parts: a computing body, and a membrane, which regulates the interactions between the computing body and the external environment. More precisely, membranes are filters which control access to the associated site, and they also rely on the well-established notion of trust between sites. We develop a basic theory to express and enforce security policies via membranes. Initially, these only control the actions incoming agents intend to perform locally. We then adapt the basic theory to encompass more sophisticated policies, where the number of actions an agent wants to perform, and also their order, are considered.

Cloud Computing has been imagined as the next generation structural engineering of IT Enterprise. .By using the homomorphic token with dispersed verification of eradication coded information, our plan attains to the combination of capacity rightness protection and information blunder limitation, i.e., the identification of getting rowdy server(s).

There is a growing development of using cloud environments forever growing storage and data processing requirements. However, adopting a cloud computing paradigm has positive as well as negative effects on the data security of service consumers.

Tri 3 2017/2018

A major hurdle in sharing resources between organizations is heterogeneity. Therefore, in order for two organizations to collaborate their policies have to be resolved. The process of resolving different policies is known as policy reconciliation, which in general is an intractable problem. This paper addresses policy reconciliation in the context of security. We present a formal framework and hierarchical representation for security policies. Our hierarchical representation exposes the structure of the policies and leads to an efficient reconciliation algorithm. We also demonstrate that agent preferences for security mechanisms can be readily incorporated into our framework. We have implemented our reconciliation algorithm in a library called the Policy Reconciliation Engine or PRE. In order to test the implementation and measure the overhead of our reconciliation algorithm, we have integrated PRE into a distributed high-throughput system called Condor.

Cloud computing is a method to enhance the capacity dynamically without investing in new infrastructure, training new personnel, or licensing new software.   It can be viewed as a cost effective solution to various security threats.   It extends the existing capabilities of Electronics and Communication world and its ongoing capabilities.   In the last few years, cloud computing has grown from being a promising business concept to one of the fast growing segments of the Communication industry at large. But as more and more information on individuals and companies are added in the cloud, concerns are beginning to grow about just “how safe” an environment it is. Despite of all the hype surrounding the cloud, enterprise customers are still hesitating to deploy their business in the cloud. Security i s one of the major concern which curbs the growth of cloud computing and complications with data privacy/security and data protection continue to plague the market. In this paper, a survey of the different security risks that pose a concern to the cloud is presented. This paper is a survey more specific to the different security issues that has emanated due to the nature of the service delivery models of a cloud computing system.

Cloud computing is an emerging economical approach that allows businesses to move beyond creating their own IT teams towards outsourcing their applications, systems, including infrastructure requirements. Cloud technology was already emerged as a framework in addition to the fifth infrastructure services, after water, energy, fuel, and telecommunications. Moreover, the IT sector is undergoing a fundamental transition. Earlier, businesses would maintain existing operations by purchasing IT equipment, but then they are implementing technology on top of that architecture. Cloud computing is a paradigm wherein IT technology is rented as well as utilized as needed by the organization. This paper describes a comprehensive investigation of data confidentiality approaches in cloud technology, their limitations as well as various strategies for overcoming them.

Cloud computing is a vastly growing information technology and its space continues to evolve at an astounding pace. It provides efficient model for organizations to take services over internet. Its professional services such as computing, software, data storage, hardware and network are growing like no other. Data storage service has been used in engineering, medical, private sectors. Now in many countries government also looks towards cloud to store their data known as g-cloud. In current time if any industry is evaluating technology replacements, upgrades or acquisitions, cloud has to be on their list of considerations. Apart from these cloud services have limitations because of lack in data security due to which in past many time cloud services have been interrupted. Data must be secured in cloud by use of effective encryption algorithms in proper way with the help of data security models. This paper covers data security issues in cloud, data security models and their comparisons

Cloud computing is a vastly growing information technology and its space continues to evolve at an astounding pace. It provides efficient model for organizations to take services over internet. Its professional services such as computing, software, data storage, hardware and network are growing like no other. Data storage service has been used in engineering, medical, private sectors. Now in many countries government also looks towards cloud to store their data known as g-cloud. In current time if any industry is evaluating technology replacements, upgrades or acquisitions, cloud has to be on their list of considerations. Apart from these cloud services have limitations because of lack in data security due to which in past many time cloud services have been interrupted. Data must be secured in cloud by use of effective encryption algorithms in proper way with the help of data security models. This paper covers data security issues in cloud, data security models and their comparisons

In an endeavor to reach the vision of ubiquitous computing where users are able to use pervasive services without spatial and temporal constraints, we are witnessing a fast growing number of mobile and sensor-enhanced devices becoming available. However, in order to take full advantage of the numerous benefits offered by novel mobile devices and services, we must address the related security issues. In this paper, we present results of a systematic literature review (SLR) on security-related topics in ubiquitous computing environments. In our study, we found 5165 scientific contributions published between 2003 and 2015. We applied a systematic procedure to identify the threats, vulnerabilities, attacks, as well as corresponding defense mechanisms that are discussed in those publications. While this paper mainly discusses the results of our study, the corresponding SLR protocol which provides all details of the SLR is also publicly available for download.

In cloud computing technology, user can store large amount of data on storage provided by cloud and make use of resources as and when required, due to which, it becomes very significant. As a result, cloud computing technology has recently become a new model, by which we can host and deliver services over the internet. In cloud computing, resources are shared between different computers and other devices by means of the internet. There are so many issues, which have been observed in a cloud computing environment that need to be addressed. These issues can be categorized as: Security, Protection, Identity Management, Management of resources, Management of Power and Energy, Data Isolation, Availability of resources and Heterogeneity of resources. The first point of security, where, cryptography can facilitate cloud computing is secure storage, but the major disadvantages of secure storage is that we cannot perform processing on encrypted data. This paper presents the challenges and issues of security aspects in cloud computing method. We first look into the impacts of the distinctive characteristics of cloud computing, namely, multi-tenancy, elasticity and third party control, upon the security requirements. Then, we analyze the cloud security requirements in terms of the fundamental issues, i.e., confidentiality, integrity, availability, audit and compliance.

Cloud computing is the revolution in current generation IT enterprise displaces database and application software to the large data centers for IT services. In this paper, we designed and simulated an adaptable and efficient scheme to guarantee the correctness of user data stored in the cloud and also with some prominent features. Homomorphic token is used for distributed verification of erasure–coded data. By using this scheme, we can identify misbehaving servers. In spite of past works, our scheme supports effective and secure dynamic operations on data blocks such as data insertion, deletion and modification. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, cloud computing moves the application software and databases to the large data centers, where the data management and services may not be absolutely truthful. This effective security and performance analysis describes that the proposed scheme is extremely flexible against malicious data modification, convoluted failures and server clouding attacks.

Game theory provides a framework for modeling a wide range of security and defense problems. This project focuses on Stackelberg strategies, which are optimal when one player can commit to a (possibly randomized) strategy before the other player moves. For example, a defensive unit can commit to a randomized patrolling pattern to deter attacks. This project explores new approaches for efficiently computing Stackelberg strategies in realistic security domains with exponentially large strategy spaces. Potential impacts of this research include increased ability to compute optimal strategies for security and defense scenarios. Notable contributions of the project include: (1) New algorithms and complexity results for security games as well as unrestricted games. The algorithms allow us to solve new classes of games efficiently; the complexity results indicate that other methods are needed for richer classes of games. (2) A deeper understanding of the role of commitment and the assumption that the attacker can observe the defender's strategy. These results indicate that, in a sense, Stackelberg strategies are safe'' to play even when this assumption does not hold, in some security domains (but not all -- and to address this shortcoming, we also provide a methodology for other security games).

Cloud computing is model which uses combine concept of “software-as-a-service” and “utility computing”, provide convenient and on-demand services to requested end users. Security in Cloud computing is an important and critical aspect, and has numerous issues and problem related to it. Cloud computing is architecture for providing computing service via the internet on demand and pay per use access to a pool of shared resources namely networks, storage, servers, services and applications, without physically acquiring them. So it saves managing cost and time for organizations. Many industries, such as banking, healthcare and education are moving towards the cloud due to the efficiency of services provided by the pay-per-use pattern based on the resources such as processing power used, transactions carried out, bandwidth consumed, data transferred, or storage space occupied etc. Using of cloud computing, the software programs aren’t run from one’s personal computer, but are rather stored on servers accessed via the Internet.

Cloud computing is model which uses combine concept of “software-as-a-service” and “utility computing”, provide convenient and on-demand services to requested end users. Security in Cloud computing is an important and critical aspect, and has numerous issues and problem related to it. Cloud computing is architecture for providing computing service via the internet on demand and pay per use access to a pool of shared resources namely networks, storage, servers, services and applications, without physically acquiring them. So it saves managing cost and time for organizations. Many industries, such as banking, healthcare and education are moving towards the cloud due to the efficiency of services provided by the pay-per-use pattern based on the resources such as processing power used, transactions carried out, bandwidth consumed, data transferred, or storage space occupied etc. Using of cloud computing, the software programs aren’t run from one’s personal computer, but are rather stored on servers accessed via the Internet.

Cloud computing is model which uses combine concept of “software-as-a-service” and “utility computing”, provide convenient and on-demand services to requested end users. Security in Cloud computing is an important and critical aspect, and has numerous issues and problem related to it. Cloud computing is architecture for providing computing service via the internet on demand and pay per use access to a pool of shared resources namely networks, storage, servers, services and applications, without physically acquiring them. So it saves managing cost and time for organizations. Many industries, such as banking, healthcare and education are moving towards the cloud due to the efficiency of services provided by the pay-per-use pattern based on the resources such as processing power used, transactions carried out, bandwidth consumed, data transferred, or storage space occupied etc. Using of cloud computing, the software programs aren’t run from one’s personal computer, but are rather stored on servers accessed via the Internet.

Cloud computing is model which uses combine concept of “software-as-a-service” and “utility computing”, provide convenient and on-demand services to requested end users. Security in Cloud computing is an important and critical aspect, and has numerous issues and problem related to it. Cloud computing is architecture for providing computing service via the internet on demand and pay per use access to a pool of shared resources namely networks, storage, servers, services and applications, without physically acquiring them. So it saves managing cost and time for organizations. Many industries, such as banking, healthcare and education are moving towards the cloud due to the efficiency of services provided by the pay-per-use pattern based on the resources such as processing power used, transactions carried out, bandwidth consumed, data transferred, or storage space occupied etc. Using of cloud computing, the software programs aren’t run from one’s personal computer, but are rather stored on servers accessed via the Internet.

Cloud computing is model which uses combine concept of “software-as-a-service” and “utility computing”, provide convenient and on-demand services to requested end users. Security in Cloud computing is an important and critical aspect, and has numerous issues and problem related to it. Cloud computing is architecture for providing computing service via the internet on demand and pay per use access to a pool of shared resources namely networks, storage, servers, services and applications, without physically acquiring them. So it saves managing cost and time for organizations. Many industries, such as banking, healthcare and education are moving towards the cloud due to the efficiency of services provided by the pay-per-use pattern based on the resources such as processing power used, transactions carried out, bandwidth consumed, data transferred, or storage space occupied etc. Using of cloud computing, the software programs aren’t run from one’s personal computer, but are rather stored on servers accessed via the Internet.

Using a set of presented package and properties through the internet is called cloud computing. Data hubs located everywhere the world offer the cloud services. As this field of machinery seen a express growth in current times, security has been the foremost distress. Security is the main issues for all technology both it was from past or newly modernized.  The information might be own or executive data stored in the cloud is facing probable dangers from hackers and there is a need to categorize the possible security holes that can be made more secure and tough. One work in this field will enable security thinkers and researches to know the dynamic threats that users or service providers are disturbed and do enquiry about the different security implements and models suggested.  by Mahalakshmi. D | Mrs. T. Sathiyabama "Security Issues in Cloud Computing"  Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018,  URL: http://www.ijtsrd.com/papers/ijtsrd18674.pdf Direct Link: http://www.ijtsrd.com/computer-science/other/18674/security-issues-in-cloud-computing/mahalakshmi-d

Pervasive computing provides services that use knowledge about the operating environment. The very knowledge that enables an application to provide better services may, however, be misused, causing security and privacy breaches. Uncontrolled disclosure of information or unconstrained interaction among entities may have serious consequences. Traditional security policies and mechanisms are inadequate because these applications are dynamic and are executed in resource constrained environment. This work proposed new access control models and trust models for use in pervasive computing applications. The work also investigated risk management and security provisioning for pervasive environments when limited resources are available. Controlled data dissemination techniques were also proposed as a part of this work. Finally, the work also discussed methodologies for designing secure pervasive computing applications.

Pervasive computing provides services that use knowledge about the operating environment. The very knowledge that enables an application to provide better services may, however, be misused, causing security and privacy breaches. Uncontrolled disclosure of information or unconstrained interaction among entities may have serious consequences. Traditional security policies and mechanisms are inadequate because these applications are dynamic and are executed in resource constrained environment. This work proposed new access control models and trust models for use in pervasive computing applications. The work also investigated risk management and security provisioning for pervasive environments when limited resources are available. Controlled data dissemination techniques were also proposed as a part of this work. Finally, the work also discussed methodologies for designing secure pervasive computing applications.

The cloud is a network of virtual computers that are linked together and may exhibit and offer computational capabilities continuously depending on certain Service Level Agreements (SLAs) that have been agreed between the parties to a contract between the clients and the internet provider. Cloud computing has several benefits, including endless computational resources, cheap cost, security controls, hypervisor protection, instantaneous elasticity, high throughput, and fault-tolerant solutions with increased performance. Since cloud computing is a comparatively recent computing model, there exists a lot of uncertainty about how well confidentiality of all levels, including host, network, data levels, and implementation, can be achieved. As a result, there still are important obstacles to cloud computing adoption. These constraints include security issues concerning privacy, compliance, and legal issues. When databases and software applications are moved from the cloud to large data centers, data management becomes a major challenge. Numerous security issues may develop while using cloud computing, including issues with privacy and control, virtualization and accessibility issues, confidentiality, management of credentials and identities, authentication of responding devices, and authenticity. In this paper, an effort is made to offer a comprehensive review of data security and threats in cloud computing.

Usually, cloud infrastructure is used individually by businesses, whereas the hybrid cloud would be a blend of two or many kinds of clouds. Because as clouds become increasingly common, safety issues also expanding. Because of such cybersecurity threats, numerous experts suggested procedures as well as ways to assure internet confidentiality. Providers of cloud-based services were accountable for the complete safety of cloud information. Nevertheless, since the clouds are accessible (easily accessible over the World wide web), much research has been conducted on cloud storage cybersecurity. This paper describes methods for enhancing security and reliability in decentralized cloud-based solutions, as well as suggests a few security solution methods of implementation.

Cloud services help individuals and organization to use data that are managed by third parties or another person at remote locations. With the increase in the development of cloud computing environment, the security has become the major concern that has been raised more consistently in order to move data and applications to the cloud as individuals do not trust the third party cloud computing providers with their private and most sensitive data and information. This paper presents, the migration of virtual machine to improve the security in cloud computing. Virtual machine (VM) is an emulation of a particular computer system. In cloud computing, virtual machine migration is a useful tool for migrating operating system instances across multiple physical machines. It is used to load balancing, fault management, low-level system maintenance and reduce energy consumption. Virtual machine (VM) migration is a powerful management technique that gives data center operators the ability to adapt the placement of VMs in order to better satisfy performance objectives, improve resource utilization and communication locality, achieve fault tolerance, reduce energy consumption, and facilitate system maintenance activities. In the migration based security approach, proposed the placement of VMs can make enormous difference in terms of security levels. On the bases of survivability analysis of VMs and Discrete Time Markov Chain (DTMC) analysis, we design an algorithm that generates a secure placement arrangement that the guest VMs can moves before succeeds the attack.

t Cloud computing is a method to enhance the capacity dynamically without investing in new infrastructure, training new personnel, or licensing new software.   It can be viewed as a cost effective solution to various security threats.   It extends the existing capabilities of Electronics and Communication world and its ongoing capabilities.   In the last few years, cloud computing has grown from being a promising business concept to one of the fast growing segments of the Communication industry at large. But as more and more information on individuals and companies are added in the cloud, concerns are beginning to grow about just “how safe” an environment it is. Despite of all the hype surrounding the cloud, enterprise customers are still hesitating to deploy their business in the cloud. Security is one of the major concern which curbs the growth of cloud computing and complications with data privacy/security and data protection continue to plague the market. In his paper, a survey of the different security risks that pose a concern to the cloud is presented. This paper is a survey more specific to the different security issues that has emanated due to the nature of the service delivery models of a cloud computing system.

Recording from the DCIA's Cloud Computing Conference at NAB 2012. More details at dcia.info/activities/ccc-nab2012/

Cloud computing is an emerging model of business computing. Cloud computing is a service, which offers customers to work over the internet. It simply states that cloud computing means storing and accessing the data and programs over the internet rather than the computer's hard disk. The data can be anything such as music, files, images, documents, and many more. The user can access the data from anywhere just with the help of an internet connection. To access cloud computing, the user should register and provide with ID and password for security reasons. The speed of transfer depends on various factors such as internet speed, the capacity of the server, and many more. In this paper, we explore the understanding the determinates of security and privacy in cloud computing, Cloud Computing architecture and We also address the characteristics and applications of several popular cloud computing platforms. We identified several challenges from the cloud computing adoption perspective and we also highlighted the cloud interoperability issue that deserves substantial further research and development. However, security and privacy issues present a strong barrier for users to adapt to cloud computing systems. By Yin Myo Kay Khine Thaw | Khin Myat Nwe Win "Understanding the Determinants of Security and Privacy in Cloud Computing Architecture"  Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26452.pdf Paper URL https://www.ijtsrd.com/computer-science/distributed-computing/26452/understanding-the-determinants-of-security-and-privacy-in-cloud-computing-architecture/yin-myo-kay-khine-thaw

In this paper, we tend to discuss regarding a lot of security draw back in cloud computing. In cloud computing techniques rather than data mining square measure accustomed needs great amount information to mine in numerous space of network technology likewise as data mining. As data mining needs great amount of information to be mined rather than investment for resources at constant place,cloud computing resources at constant place.

To support the global C41 missions of the future, with their emphasis on rapid deployment, reach back, timely response and multiple mission capability, requires a seamless information environment from the sensors to the execution elements. The goal is to provide the right information, at the right time and the right place. Physically this will be implemented as a collection of interconnected information processing centers, each supporting a specific portion of the mission (e.g. planning, logistics, intelligence, monitoring, assessment, etc.). These centers will be functionally integrated to provide the perception of a single, uniform, information environment, which provides to all of the users a common, consistent and current view of needed information, even though the users and the information sources may all be physically dispersed around the globe.

To support the global C41 missions of the future, with their emphasis on rapid deployment, reach back, timely response and multiple mission capability, requires a seamless information environment from the sensors to the execution elements. The goal is to provide the right information, at the right time and the right place. Physically this will be implemented as a collection of interconnected information processing centers, each supporting a specific portion of the mission (e.g. planning, logistics, intelligence, monitoring, assessment, etc.). These centers will be functionally integrated to provide the perception of a single, uniform, information environment, which provides to all of the users a common, consistent and current view of needed information, even though the users and the information sources may all be physically dispersed around the globe.

The problem of risk assessment of information security in cloud computing and in other complex systems is considered. The rational choice model of architecture for fuzzy inference system (FIS) based on multicriteria decision is first proposed. The model makes possible choose FIS methods for different variants on the basis of statistical data and to choose the optimal structure for FIS. 

This work discusses the security of data in cloud computing. It is a study of data in the cloud and aspects related to it concerning security. The work will go in to details of data protection methods and approaches used throughout the world to ensure maximum data protection by reducing risks and threats. Availability of data in the cloud is beneficial for many applications but it poses risks by exposing data to applications which might already have security loopholes in them. Similarly, use of virtualization for cloud computing might risk data when a guest OS is run over a hypervisor without knowing the reliability of the guest OS which might have a security loophole in it. This task will also provide an insight on data security aspects for Data-in-Transit and Data-at-Rest. The study is based on all the levels of SaaS (Software as a Service), PaaS (Platform as a Service) and IaaS (Infrastructure as a Service). Growth of cloud computing is mainly hampered due to these security concerns and challenges. Proper security arrangements are need to be placed before selecting the service provider for any cloud computing service and customers need to be very careful about understanding the risks of security breaches and challenges of using this new computing environment. The methodology implements on Cloud Sim 3.0.1 toolbox, which is configure in Net Beans 8.1. The outcome demonstrates that it gives improved execution contrasted with supplementary predictable security algorithm. Crypto operation time, key operation time and total execution are reduced by 2.72%, 7.91% and 4.63% significantly. Juhi Yadava | Prof. S. R. Yadav | Prof. Madhuvan Dixit"Performance Analysis of Data Security Using Cryptographic Policy With Instance Based Encryption in Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd17064.pdf http://www.ijtsrd.com/computer-science/other/17064/performance-analysis-of-data-security-using-cryptographic-policy-with-instance-based-encryption-in-cloud-computing/juhi-yadava

Today's IT world is progressively used in healthcare with the goal to improve and develop the medical services and to reduce costs. Records are very delicate that should not be made available to unauthorized people for protecting patients information security. In this context cloud computing became trend of information technology which allows more efficient computing by centralizing data storage and processing data online to prevent cyber gaps that pose an adverse impact on the security and privacy of patients' electronic health records. In these situations, security challenges of the wireless networks need to be carefully understood and considered. Cloud computing as part of Healthcare IT reliability, security, privacy, data portability and integration are some of the significant challenges and barriers to implementation that are responsible for its slow adoption in the Kingdom of Saudi Arabia. Chamandeep Kaur | Hanan Mohammed Mourad | Sayyada Sara Banu "Security and Challenges using Clouds Computing in Healthcare Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29406.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/29406/security-and-challenges-using-clouds-computing-in-healthcare-management-system/chamandeep-kaur

Cloud computing, an emerging form of computing in which users have access to scalable, on-demand capabilities that are provided through Internet-based technologies, reportedly has the potential to provide information technology services more quickly and at a lower cost, but it also has the potential to introduce information security risks. Accordingly, GAO was asked to testify on the benefits and risks of moving federal information technology into the cloud. This testimony summarizes the contents of a separate report that is being released today that describes the following: (1) the models of cloud computing, (2) the information security implications of using cloud computing services in the Federal Government, and (3) federal guidance and efforts to address information security when using cloud computing. The complete report is titled Information Security: Federal Guidance Needed to Address Control Issues with Implementing Cloud Computing (GAO-10-513). In preparing that report, GAO collected and analyzed information from industry groups, private-sector organizations, and 24 major federal agencies. In the report being released today, GAO recommended that the Office of Management and Budget, the General Services Administration, and the Department of Commerce take steps to address cloud computing security, including completion of a strategy, consideration of security in a planned procurement of cloud computing services, and issuance of guidance related to cloud computing security. These agencies generally agreed with GAO's recommendations.

Cloud computing, an emerging form of computing in which users have access to scalable, on-demand capabilities that are provided through Internet-based technologies, reportedly has the potential to provide information technology services more quickly and at a lower cost, but it also has the potential to introduce information security risks. Accordingly, GAO was asked to testify on the benefits and risks of moving federal information technology into the cloud. This testimony summarizes the contents of a separate report that is being released today that describes the following: (1) the models of cloud computing, (2) the information security implications of using cloud computing services in the Federal Government, and (3) federal guidance and efforts to address information security when using cloud computing. The complete report is titled Information Security: Federal Guidance Needed to Address Control Issues with Implementing Cloud Computing (GAO-10-513). In preparing that report, GAO collected and analyzed information from industry groups, private-sector organizations, and 24 major federal agencies. In the report being released today, GAO recommended that the Office of Management and Budget, the General Services Administration, and the Department of Commerce take steps to address cloud computing security, including completion of a strategy, consideration of security in a planned procurement of cloud computing services, and issuance of guidance related to cloud computing security. These agencies generally agreed with GAO's recommendations.

Cloud computing, an emerging form of computing in which users have access to scalable, on-demand capabilities that are provided through Internet-based technologies, reportedly has the potential to provide information technology services more quickly and at a lower cost, but it also has the potential to introduce information security risks. Accordingly, GAO was asked to testify on the benefits and risks of moving federal information technology into the cloud. This testimony summarizes the contents of a separate report that is being released today that describes the following: (1) the models of cloud computing, (2) the information security implications of using cloud computing services in the Federal Government, and (3) federal guidance and efforts to address information security when using cloud computing. The complete report is titled Information Security: Federal Guidance Needed to Address Control Issues with Implementing Cloud Computing (GAO-10-513). In preparing that report, GAO collected and analyzed information from industry groups, private-sector organizations, and 24 major federal agencies. In the report being released today, GAO recommended that the Office of Management and Budget, the General Services Administration, and the Department of Commerce take steps to address cloud computing security, including completion of a strategy, consideration of security in a planned procurement of cloud computing services, and issuance of guidance related to cloud computing security. These agencies generally agreed with GAO's recommendations.

With the rapid development of cloud storage, more data owners store their data on the remote cloud to reduce the heavy local storage overhead. Cloud storage provides clients with a storage space that they may outsource and use on a pay-as-you-go basis. Due to data ownership separation and management, local data owners lose control over their data. Hence, all the operations over the outsourced data such as data transfer, update, and deletion, will be executed by the remote cloud server. As a result of that, various security challenges appear in terms of data privacy and integrity. In addition to data deletion that becomes an important security challenge, once a cloud user intends to delete his data, it must be sure that data is deleted from all cloud storage sources and prevent the cloud server from reserving the data maliciously for economic interests. In this paper, we present and discuss several types of research that use different technologies to solve assured deletion problems and verification the deletion result. The paper also presents a thorough analysis of the surveyed protocols in terms of finegrained, security, performance, and requirements of remote cloud storage design.

Cloud computing is a computer platform that enables users to pool information such as infrastructure, programs, services, and workflows. The cloud is a virtual pool of computational resources. It makes available computer resources in a group to consumers via the network. Cloud computing, as a new computer architecture, intends to openly share a memory, processing, and applications across a large number of clients. Current cloud computing systems have significant limitations in terms of ensuring clients' information confidentially. Because clients' sensitive information is transported in plaintext form to distant workstations controlled and maintained by third-party telecommunications companies, the danger of unauthorized exposure of clients' confidential documents by telecommunications companies is rather significant. A number of methods exist for securing clients' information against external intruders. This paper elaborates on the most recent situation in the investigations of various security protocols for data protection in cloud-based infrastructures.

Because of its accessibility and flexibility, cloud technology is among the most notable innovations in today's world. Having many service platforms, such as GoogleApps by Google, Amazon, Apple, and so on, is well accepted by large enterprises. Distributed cloud computing is a concept for enabling every-time, convenient, on-demand network access to processing resources including servers, storage devices, networks, and services that may be mutually configured. The major security risks for cloud computing as identified by the Cloud security alliance (CSA) have been examined in this study. Also, methods for resolving issues with cloud computing technology's data security and privacy protection were systematically examined

This research explores how hardware-based primitives can be implemented to perform security-related monitoring in real-time, offer better security, and increase performance compared to software-based approaches. In doing this, we propose a novel computing architecture, derived from a contemporary shared memory architecture, that facilitates efficient security-related monitoring in real-time, while keeping the monitoring hardware itself safe from attack. This architecture is flexible, allowing security to be tailored based on the needs of the system. We have developed a number of hardware-based primitives that fit into this architecture to provide a wide array of monitoring capabilities. A number of these primitives provide capabilities, such as multi-context monitoring and virtual memory introspection, that were not previously possible at the hardware level. Not only does this allow for more robust security-related monitoring when compared to software-based approaches, it also allows the security-related monitoring concepts presented in this research to be applied across a broad range of computing environments.

This research explores how hardware-based primitives can be implemented to perform security-related monitoring in real-time, offer better security, and increase performance compared to software-based approaches. In doing this, we propose a novel computing architecture, derived from a contemporary shared memory architecture, that facilitates efficient security-related monitoring in real-time, while keeping the monitoring hardware itself safe from attack. This architecture is flexible, allowing security to be tailored based on the needs of the system. We have developed a number of hardware-based primitives that fit into this architecture to provide a wide array of monitoring capabilities. A number of these primitives provide capabilities, such as multi-context monitoring and virtual memory introspection, that were not previously possible at the hardware level. Not only does this allow for more robust security-related monitoring when compared to software-based approaches, it also allows the security-related monitoring concepts presented in this research to be applied across a broad range of computing environments.

Cloud computing is a revolutionary way of storing and accessing data with five essential characteristics, three service models, and four deployment models. Businesses have realized the tremendous potentiality and benefits of cloud computing and have accepted the technology, but still a small amount of scepticism hovers around. In defiance of its potential characteristics, the organizations risk their sensitive data by storing it in the cloud. In this paper, we have identified various privacy and security challenges associated with the novelty of cloud computing. The security and privacy challenge listed in this paper perceives demand for implementation of sophisticated technologies to deal with them. Gopal K. Shyam | Mir Abdul Samim Ansari"Security Concerns in Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18306.pdf http://www.ijtsrd.com/computer-science/distributed-computing/18306/security-concerns-in-cloud-computing/gopal-k-shyam

Cloud computing is a revolutionary way of storing and accessing data with five essential characteristics, three service models, and four deployment models. Businesses have realized the tremendous potentiality and benefits of cloud computing and have accepted the technology, but still a small amount of scepticism hovers around. In defiance of its potential characteristics, the organizations risk their sensitive data by storing it in the cloud. In this paper, we have identified various privacy and security challenges associated with the novelty of cloud computing. The security and privacy challenge listed in this paper perceives demand for implementation of sophisticated technologies to deal with them. Gopal K. Shyam | Mir Abdul Samim Ansari"Security Concerns in Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18306.pdf http://www.ijtsrd.com/computer-science/distributed-computing/18306/security-concerns-in-cloud-computing/gopal-k-shyam

Tri 2 2016/2017

Usually, cloud infrastructure is used individually by businesses, whereas the hybrid cloud would be a blend of two or many kinds of clouds. Because as clouds become increasingly common, safety issues also expanding. Because of such cybersecurity threats, numerous experts suggested procedures as well as ways to assure internet confidentiality. Providers of cloud-based services were accountable for the complete safety of cloud information. Nevertheless, since the clouds are accessible (easily accessible over the World wide web), much research has been conducted on cloud storage cybersecurity. This paper describes methods for enhancing security and reliability in decentralized cloud-based solutions, as well as suggests a few security solution methods of implementation.

The widespread use of mobile computing and telecommuting has increased the need for effective protection of computing platforms. Traditional schemes that involve strengthening the security of individual systems, or the use of firewalls at network entry points have difficulty accommodating the special requirements of remote and mobile users. We propose the use of a special purpose drop-in firewall/VPN gateway called Sieve, that can be inserted between the mobile workstation and the network to provide individualized security services for that particular station. Sieve is meant to be used like an external modem: the user only needs to plug it in. Its existence is transparent to the user, requiring no modification to the workstation configuration. To function in this role, Sieve has been designed to be compact, low-cost, requiring little administration or maintenance. In this paper, we discuss the features and advantages of our system. We demonstrate how Sieve was used in various application areas (home, university environment, etc.) and describe our future plans.

As cloud computing continues to proliferate, ensuring data security within cloud environments becomes increasingly critical. This paper explores the integration of blockchain technology as a means to enhance data security in cloud computing. Blockchain, with its decentralized and immutable ledger system, offers unique capabilities that address key security challenges such as data privacy, integrity, identity management, and compliance. Through a comprehensive analysis of blockchain's potential applications and integration strategies, this paper provides insights into how blockchain can bolster data security in cloud computing environments. Case studies and real-world implementations highlight successful integration efforts by major cloud service providers such as IBM, Microsoft, and Amazon. Additionally, this paper discusses the challenges and limitations associated with blockchain integration and explores future directions and emerging trends in the intersection of blockchain and cloud security. By leveraging blockchain technology, organizations can enhance their security posture in the cloud, ensuring the confidentiality, integrity, and availability of their sensitive data.

Cloud computing is a new and innovative technology, which serves resources as a service to cloud user. Cloud computing technology provides optimum utilization of computing resources in less cost, which attract organization to be part of cloud customer market. Day by day cloud users are getting increases. Cloud serves IaaS, PaaS, SaaS and DaaS as a service on various private public, community and hybrid cloud levels. On cloud data is stores over the network and this network is shared and access by various cloud users, so data security and privacy are key concerns. Due to shared architecture of cloud, security is always challenging job. Various security methods are suggested by cloud researchers to maintain security and privacy for cloud data. In this survey paper we are presenting a review of various cloud security threats and available methods for protection. Deepak Kumar Malviya | Umesh Kumar Lilhore "Survey on Security Threats in Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-1 , December 2018, URL: http://www.ijtsrd.com/papers/ijtsrd19172.pdf http://www.ijtsrd.com/computer-science/computer-network/19172/survey-on--security-threats-in-cloud-computing/deepak-kumar-malviya

Cloud computing is a new and innovative technology, which serves resources as a service to cloud user. Cloud computing technology provides optimum utilization of computing resources in less cost, which attract organization to be part of cloud customer market. Day by day cloud users are getting increases. Cloud serves IaaS, PaaS, SaaS and DaaS as a service on various private public, community and hybrid cloud levels. On cloud data is stores over the network and this network is shared and access by various cloud users, so data security and privacy are key concerns. Due to shared architecture of cloud, security is always challenging job. Various security methods are suggested by cloud researchers to maintain security and privacy for cloud data. In this survey paper we are presenting a review of various cloud security threats and available methods for protection. Deepak Kumar Malviya | Umesh Kumar Lilhore "Survey on Security Threats in Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-1 , December 2018, URL: http://www.ijtsrd.com/papers/ijtsrd19172.pdf http://www.ijtsrd.com/computer-science/computer-network/19172/survey-on--security-threats-in-cloud-computing/deepak-kumar-malviya

Cloud computing is an emerging economical approach that allows businesses to move beyond creating their own IT teams towards outsourcing their applications, systems, including infrastructure requirements. Cloud technology was already emerged as a framework in addition to the fifth infrastructure services, after water, energy, fuel, and telecommunications. Moreover, the IT sector is undergoing a fundamental transition. Earlier, businesses would maintain existing operations by purchasing IT equipment, but then they are implementing technology on top of that architecture. Cloud computing is a paradigm wherein IT technology is rented as well as utilized as needed by the organization. This paper describes a comprehensive investigation of data confidentiality approaches in cloud technology, their limitations as well as various strategies for overcoming them.