Chinese Wall Security Policy

This project establishes a Chinese wall security policy model in the environment of cloud computing. In 1988 Brewer and Nash proposed a very nice commercial security policy in British financial world. Though the policy was well accepted, but the model was incorrect. A decade later, Dr. Lin provided a model in 2003 that meets Brewer & Nash’s Policy. One of the important components in Cloud computing is data center. In order for any company to store data in the center, a trustable security policy model is a must; Chinese wall security policy model will provide this assurance. The heart of the Chinese Wall Security Policy Model is the concept of Conflict of Interest (COI). The concept can be modeled by an anti-reflexive, symmetric and transitive binary relation. In this project, by extending Dr. Lin’s Model, we explore the security issues in the environment of cloud computing and develop a small system of the Chinese Wall Security Model

A Review on Issues in Cloud Computing Services

With the internet getting so popular data sharing and security of personal data has gain much more importance than before. Cloud provides and efficient way to outsource the data either online or offline but data security becomes one of the major issues in unreliable multi-cloud environment. This paper addresses the issues in multi-cloud environment and also provides a way to provide better security in multi-cloud environment. Further it discusses the different encryption algorithms that can be used to maintain a design framework for cloud environment

Load Balancing By Cloud Computing

With the internet getting so popular data sharing and security of personal data has gain much more importance than before. Cloud provides and efficient way to outsource the data either online or offline but data security becomes one of the major issues in unreliable multi-cloud environment. This paper addresses the issues in multi-cloud environment and also provides a way to provide better security in multi-cloud environment. Further it discusses the different encryption algorithms that can be used to maintain a design framework for cloud environment

Securing User's Data on Cloud Using AES

Data security is a major issue in our day to day life in IT field, but in cloud it is particularly of serious concern since data is scattered at different places all over the globe. To this trustworthy environment there is lot usage of cloud done for scattered environment. Cloud computing security or, more simply, cloud security is an evolving around sub-domain of environment in cloud computing paradigm, Rajkumar Buyya Wiley publications in, more broadly way, information security. It refers to a broad set of policies, technologies, and controls deployed to protect data, applications, and the associated infrastructure of cloud computing

Space Complexity Analysis of RSA and ECC Based Security Algorithms in Cloud Data

Cloud computing is an important development trend in information technology all over the world. Nowadays, the cloud data security technique exploits the symmetric encryption and asymmetric encryption algorithms within the capability of the stronger authentication techniques. A major risk of data security in cloud computing environment becomes a serious problem by reason of the data which is stored diversely over the cloud. Both the data security and privacy are the two main characteristics of cloud information technologies for user’s concern. We discuss in this paper, a number of existing techniques used to provide security in the field of cloud computing on the basis of different parameters. It will be helpful to improve assure the security of data storage in a cloud environment

Privacy Preserving For Secure Cloud Storage

Cloud Computing is one of the large and essential environment now a days to work for the storage collection and privacy preserve to that data. Cloud data security is most important and major concern for the client while use of the cloud services provided by the different service providers. There can be some major security concern and conflicts between the client and the service provider. To get out from those issues, a third party auditor uses as an auditor for assurance of data in the environment. Storage systems for the cloud has many fundamental challenges still today. All basic as well critical challenges among which storage space and security is generally the top concern in the cloud environment. To give the appropriate security issues we have proposed third party authentication system. The cloud not only for the simplified data storage but also secure data acquisition in cloud environment .At last we have perform different security analysis as well performance analysis. It give the results that proposed scheme has significant increases in efficiency for maintaining highly secure data storage and acquisition. The proposed method also helps to minimize the cost in environment and also increases communication efficiency in the cloud environment

A Study on Data Protection in Cloud Environment

Data protection in the online environment pertains to the safeguarding of sensitive or important data kept, analyzed, or sent in cloud-based systems. It entails assuring data confidentiality, integrity, and availability, as well as adhering to appropriate data protection requirements. In a nutshell, cloud data protection seeks to protect data against unauthorized access, deletion, or breaches while retaining its accuracy and accessible to authorized users. This is accomplished in the cloud environment using various security measures, encryption approaches, access controls, disaster recovery and backup processes, and constant monitoring and threat detection.  The research significance of data protection in the cloud environment can be summarized as follows: Security and Privacy: Research in data protection in the cloud helps address the security and privacy concerns associated with storing and processing sensitive data in cloud-based systems. It explores and develops advanced security mechanisms, encryption techniques, and access controls to protect data from unauthorized access, data breaches, and privacy violations. Trust and Confidence: Research in data protection contributes to building trust and confidence in cloud computing. By developing robust security solutions and demonstrating their effectiveness, research helps alleviate concerns about data security and privacy, fostering greater adoption of cloud services by organizations and individuals. Compliance and Regulations: Cloud computing often involves compliance with data protection regulations and industry standards. Research in this area explores the legal and regulatory aspects of data protection in the cloud and helps organizations understand and comply with relevant requirements. Data Resilience and Recovery: Research in data protection focuses on ensuring data resilience and developing efficient data recovery mechanisms in the cloud. It explores backup and disaster recovery strategies, data replication techniques, and data loss prevention methods to minimize downtime, recover data promptly, and maintain business continuity in the event of system failures or disasters. By addressing these research areas, studies on data protection in the cloud environment contribute to enhancing security, privacy, compliance, and resilience in cloud computing. They provide valuable insights, practical solutions, and guidelines for organizations and service providers to protect data effectively and maintain the trust of users in cloud-based services. The weighted product method approach is commonly used to choose the best data protection in cloud environment. CCSS1, CCSS2, CCSS3, CCSS4, CCSS5 data visibility, data integrity, Maintains compliance, Data security, Data storage. From the result it is seen that CCSS2 got highest rank whereas CCSS5 got lowest rank According to the results, CCSS2 was ranked first

Designing Security Model for Un-Reliable Cloud IAAS Storage

With the internet getting so popular data sharing and security of personal data has gain much more importance than before. Cloud provides and efficient way to outsource the data either online or offline but data security becomes one of the major issues in unreliable cloud environment. The proposed system addresses the security issues in cloud environment and also provides a way to provide better security and load balancing in cloud environment. The proposed system uses cryptographic symmetric algorithm AES with key size of 256 for data encryption and Ultra Zip compression which provides a compression ratio up to 50% depending on the file type. After encryption and compression the data is splitted into multiple parts and each part is stored in separate data server. The proposed work can be used in many different application like social networking sites and file hosting websites