A Privacy-Preserving and Untraceable Group Data Sharing Scheme in Cloud Computing
Abstract : With the development of cloud computing, the great amount of storage data requires safe and efficient data sharing. In multiparty storage data sharing, first, the confidentiality of shared data is ensured to achieve data privacy preservation. Second, the security of stored data is ensured. That is, when stored shared data are subject to frequent access operations, the server's address sequence or access mode is hidden. Therefore, determining how to ensure the untraceability of stored data or efficient hide the data access mode in sharing stored data is a challenge. By leveraging proxy re-encryption and oblivious random access memory (ORAM), a privacy-preserving and untraceable scheme is proposed to support multiple users in sharing data in cloud computing. On the one hand, group members and proxies use the key exchange phase to obtain keys and resist multiparty collusion if necessary. The ciphertext obtained according to the proxy re-encryption phase enables group members to implement access control and store data, thereby completing secure data sharing. On the other hand, this paper realizes data untraceability and a hidden data access mode through a one-way circular linked table in a binary tree (OLTB) and obfuscation operation.
? This consolidates the components supporting high versatility and multi-occupancy, offering high flexibility when compared with the earlier existing computing approaches.
? Virtualization tool can be used as a spirit of distributed computing lifespan and this is inadequate to actually existing resources.
? Their aim is to discuss data segregation technique to enhance data security cloud computing and also describes the advantages and disadvantage of the existing data segregation strategies and techniques.
? In any case, existing mCL-PKE plans are either wasteful due to the utilization of costly matching operations or helpless against partial decoding assaults.
? Many researchers have devoted themselves to the design of data sharing schemes in the cloud. But the problems existing in the above research still need to be resolved.
? To achieve this goal, the following challenging problems should be taken into consideration.
? The most worrying problem when users store data in the cloud server is the confidentiality of the outsourced data.
? The intractable problem when sharing data in the cloud using the group manner is to ensure the security of the data when group members dynamically join and quit the group.
? With the popularity of cloud computing, how to achieve secure and efficient data sharing in cloud environments is an urgent problem to be solved.
• Many researchers proposed models for data protection and to enhance data security such as data segregation techniques.
• Proposed model of Continual Auxiliary Leakage (CAL) which can capture both continual leakage and memory leakage.
• The author proposed an algorithm SEQ that tells about resource augmentation to give a solution to Maximize Throughput Bounded Degree (MTBD) problem.
• A protected, dynamic and efficient search technique is proposed, which underpins the dynamic cancellation and addition of reports.
• The proposed utilizing these connections to frame dynamic “Social Cloud”, consequently empowering clients to share varied assets inside the setting of social community.
? This paper focuses on enabling data sharing and storage for the same group in the cloud with high security and efficiency in an anonymous manner.
? To evaluate the performance, we simulate our scheme using the C programming language with the GMP Library (GMP-6.1.2) and PBC Library (pbc-0.5.14).
? Our goal is to achieve anonymous data sharing under a cloud computing environment in a group manner with high security and efficiency.
? A desired scheme not only supports the participation of any number of users but also supports efficient key and data updating.
? In this paper, we focus on constructing an efficient and secure data sharing scheme that can support anonymous and traceable group data sharing in cloud computing.
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