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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.

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.

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

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. 

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. 

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

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 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.

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.

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.

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.

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.

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 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.

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.

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.

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.

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

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

Tri 2 2015/2016

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.

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.

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

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.

Tri 3 2017/2018

Fog computing (FC) has evolved as a significant paradigm within the internet of things (IoT) ecosystem, serving as a crucial link between edge devices and centralised cloud computing resources. This research paper investigates advanced methodologies for improving the security and efficiency of FC in the IoT domain. The primary emphasis is placed on the utilisation of elliptic curve cryptography (ECC) to accomplish these goals. This study examines the difficulties encountered in ensuring the security of IoT deployments based on FC. It also presents novel solutions based on ECC to mitigate these obstacles. Moreover, this study investigates techniques for enhancing the efficiency and allocation of resources in IoT applications within a FC environment. This study seeks to offer significant insights into the application of ECC-based techniques for enhancing the security and efficiency of FC in the context of the IoTs. These insights are derived through a combination of theoretical analysis and practical implementations. To evaluate the effectiveness of the proposed system, an analysis is conducted to examine the encryption time, decryption time, and correlation coefficients. These metrics are then compared to those of existing state-of-the-art approaches.

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.

Tri 2 2016/2017

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 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 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.

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.

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 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

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/

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 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.

Despite recent dramatic advances in computer security regarding the proliferation of services and applications, security threats are still major impediments in the deployment of these services. Paying serious attention to these issues, Security in Distributed, Grid, Mobile, and Pervasive Computing focuses on the increasing demand to guarantee privacy, integrity, and availability of resources in networks and distributed systems. A rich and useful presentation of strategies for security issues, the book covers each computing area in separate sections. It first reviews security issues and challenges in content distribution networks, describes key agreement protocols based on the Diffie-Hellman key exchange and key management protocols for complex distributed systems like the Internet, and discusses securing design patterns for distributed systems. The next section focuses on security in mobile computing and wireless networks, covering wireless authentication methods, secure data aggregation, and anonymous routing protocol. After a section on grid computing security, the book presents an overview of security solutions for pervasive healthcare systems and surveys wireless sensor network security. With more and more vital information stored on computers, security professionals need to know how to combat threats and complications. Offering strategies to tackle these issues, this book provides essential security information for researchers, practitioners, educators, and graduate students in the field.

This book addresses the increasing demand to guarantee privacy, integrity, and availability of resources in networks and distributed systems. It first reviews security issues and challenges in content distribution networks, describes key agreement protocols based on the Diffie-Hellman key exchange and key management protocols for complex distributed systems like the Internet, and discusses securing design patterns for distributed systems. The next section focuses on security in mobile computing and wireless networks. After a section on grid computing security, the book presents an overview of security solutions for pervasive healthcare systems and surveys wireless sensor network security.

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.

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.

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.

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.

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.

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.