AnonyControl: Control Cloud Data Anonymously with Multi-Authority Attribute-Based Encryption

Cloud computing is a revolutionary computing paradigm which enables flexible, on-demand and low-cost usage of computing resources. However, those advantages, ironically, are the causes of security and privacy problems, which emerge because the data owned by different users are stored in some cloud servers instead of under their own control. To deal with security problems, various schemes based on the Attribute- Based Encryption (ABE) have been proposed recently. However, the privacy problem of cloud computing is yet to be solved. This paper presents an anonymous privilege control scheme AnonyControl to address the user and data privacy problem in a cloud. By using multiple authorities in cloud computing system, our proposed scheme achieves anonymous cloud data access, finegrained privilege control, and more importantly, tolerance to up to (N -2) authority compromise. Our security and performance analysis show that AnonyControl is both secure and efficient for cloud computing environment.Comment: 9 pages, 6 figures, 3 tables, conference, IEEE INFOCOM 201

Secure Cloud Storage: A Framework for Data Protection as a Service in the Multi-cloud Environment

This paper introduces Secure Cloud Storage (SCS), a framework for Data Protection as a Service (DPaaS) to cloud computing users. Compared to the existing Data Encryption as a Service (DEaaS) such as those provided by Amazon and Google, DPaaS provides more flexibility to protect data in the cloud. In addition to supporting the basic data encryption capability as DEaaS does, DPaaS allows users to define fine-grained access control policies to protect their data. Once data is put under an access control policy, it is automatically encrypted and only if the policy is satisfied, the data could be decrypted and accessed by either the data owner or anyone else specified in the policy. The key idea of the SCS framework is to separate data management from security management in addition to defining a full cycle of data security automation from encryption to decryption. As a proof-of-concept for the design, we implemented a prototype of the SCS framework that works with both BT Cloud Compute platform and Amazon EC2. Experiments on the prototype have proved the efficiency of the SCS framework

Secure & Encrypted Accessing and Sharing of Data in Distributed Virtual Cloud: A Review

Cloud Computing has been accepted as the next generation architecture of IT Enterprise. The Cloud computing idea offers dynamically scalable resources provisioned as a service over and the Internet Economic benefits are the main driver for the Cloud, since it promises the reduction of capital expenditure and operational expenditure Placing critical data in the hands of a cloud provider should come with the guarantee of security and availability for data and in use. various alternatives available for storage services, while data confidentiality is the solutions for the database as a service pattern are still undeveloped This architecture is supporting purely distributed clients to connect directly to an encrypted cloud database, and to execute simultaneous and independent operations including those modifying the database structure. The Access control policy is set out in which only authorised users are able to decrypt the stored information. This scheme prevents from replay attacks and supports formation, modification, and reading data stored in the cloud. This unique attribute, however, creates many new security challenges which have not been well understood. Security is to protect data from danger and vulnerability. There are various dangers and vulnerabilities to be handle. Various security issues and some of their solution are explained and are concentrating mainly on public cloud security issues and their solutions. Data should always be encrypted in a time when stored and transmitted

Multi - owner Secure Data Sharing in Cloud Computing Environment

Data sharing in the cloud is a technique that allows users to conveniently access data over the cloud. The data owner outsources their data in the cloud due to cost reduction and the great conveniences provided by cloud services. Data owner is not able to control over their data, because cloud service provider is a third party provider.  The main crisis with data sharing in the cloud is the privacy and security issues. Various techniques are available to support user privacy and secure data sharing. This paper focus on various schemes to deal with secure data sharing such as Data sharing with forward security, secure data sharing for dynamic groups, Attribute based data sharing, encrypted data sharing and Shared Authority Based Privacy-Preserving Authentication Protocol for access control of outsourced data