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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

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.

n the era of rapid technological development, the use of IoT continues to increase, especially in the context of edge computing. This survey paper thoroughly explores the security challenges that arise in the implementation of IoT at the edge computing level. The focus of this research is the potential cyber attacks and threats that can affect system security. This paper identifies cybersecurity risks that may arise in an IoT environment at edge computing through the literature survey method. The research methodology approach is used to classify attacks based on their impact on infrastructure, services, and communications. The four classification dimensions, namely Network Bandwidth Consumption Attacks, System Resources Consumption Attacks, Threats to Service Availability, and Threats to Communication, provide a basis for understanding and addressing security risks. This paper is expected to provide a solid foundation of understanding of security in IoT in edge computing, as well as a contribution to the development of effective security strategies. By focusing on an in-depth understanding of security risks, this paper encourages the development of future adaptive security solutions to address security challenges that evolve with the rapid adoption of IoT technologies in edge computing.

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.

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.

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.

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 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 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

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

Tri 2 2016/2017

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

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.

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. 

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 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.

Tri 3 2017/2018

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

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

Tri 2 2015/2016

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 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.

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.

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.

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.

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.

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.

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.

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

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

An approach has been presented in this paper in order to generate a secure environment on internet Based Virtual Computing platform and also to reduce energy consumption in green cloud computing. The proposed approach constantly checks the accuracy of stored data by means of a central control service inside the network environment and also checks system security through isolating single virtual machines using a common virtual environment. This approach has been simulated on two types of Virtual Machine Manager (VMM) Quick EMUlator (Qemu), HVM (Hardware Virtual Machine) Xen and outputs of the simulation in VMInsight show that when service is getting singly used, the overhead of its performance will be increased. As a secure system, the proposed approach is able to recognize malicious behaviors and assure service security by means of operational integrity measurement. Moreover, the rate of system efficiency has been evaluated according to the amount of energy consumption on five applications (Defragmentation, Compression, Linux Boot Decompression and Kernel Boot). Therefore, this has been resulted that to secure multi-tenant environment, managers and supervisors should independently install a security monitoring system for each Virtual Machines (VMs) which will come up to have the management heavy workload of. While the proposed approach, can respond to all VM’s with just one virtual machine as a supervisor.

Cloud is a growing trend now a days. It is used in almost all growing sectors. It also finds its application in banking sector. Clouds In banking sector is used to store the account information of the bank customers. Using clouds puts the security of the data in a fix. Data integrity is not guaranteed. Online transactions are not yet safe to be done. We propose a system that contains Clouds and public auditing scheme which provides data integrity check by a Third Party auditor (TPA). The TPA is enabled to perform audits for multiple user simultaneously. Along with the alpha numeric passwords we enable the user to set an image password which uses visual cryptography as its underlying mechanism. K-N sharing algorithm is use in this. This effectively increases the security by reducing the risk password hacking. Our system also provides an additional feature of de-duplication in order to avoid duplications of files stored at the main server. This saves the memory usage as well as the bandwidth. Thus our system includes the features of cloud computing with public auditing using TPA, Visual Cryptography, and de-duplication.

Cloud is a growing trend now a days. It is used in almost all growing sectors. It also finds its application in banking sector. Clouds In banking sector is used to store the account information of the bank customers. Using clouds puts the security of the data in a fix. Data integrity is not guaranteed. Online transactions are not yet safe to be done. We propose a system that contains Clouds and public auditing scheme which provides data integrity check by a Third Party auditor (TPA). The TPA is enabled to perform audits for multiple user simultaneously. Along with the alpha numeric passwords we enable the user to set an image password which uses visual cryptography as its underlying mechanism. K-N sharing algorithm is use in this. This effectively increases the security by reducing the risk password hacking. Our system also provides an additional feature of de-duplication in order to avoid duplications of files stored at the main server. This saves the memory usage as well as the bandwidth. Thus our system includes the features of cloud computing with public auditing using TPA, Visual Cryptography, and de-duplication.

Cloud is a growing trend now a days. It is used in almost all growing sectors. It also finds its application in banking sector. Clouds In banking sector is used to store the account information of the bank customers. Using clouds puts the security of the data in a fix. Data integrity is not guaranteed. Online transactions are not yet safe to be done. We propose a system that contains Clouds and public auditing scheme which provides data integrity check by a Third Party auditor (TPA). The TPA is enabled to perform audits for multiple user simultaneously. Along with the alpha numeric passwords we enable the user to set an image password which uses visual cryptography as its underlying mechanism. K-N sharing algorithm is use in this. This effectively increases the security by reducing the risk password hacking. Our system also provides an additional feature of de-duplication in order to avoid duplications of files stored at the main server. This saves the memory usage as well as the bandwidth. Thus our system includes the features of cloud computing with public auditing using TPA, Visual Cryptography, and de-duplication.

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.

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).

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).

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).

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.