Design of Privacy-Preserving Cloud Storage Framework

Abstract

Privacy security is a key issue for cloud storage. To solve this problem, the paper 1 proposes a privacy-preserving cloud storage framework, which includes the design of data organization structure, the generation and management of keys, the treatment of change of users' access right and dynamic operations of data, and the interaction between participants. We design an interactive protocol and an extirpation-based key derivation algorithm, which are combined with lazy revocation, multi-tree structure and symmetric encryption to form a privacy-preserving, efficient framework for cloud storage. A system is realized which is based on the framework. The paper analyzes the effectiveness of extirpation-based key derivation algorithm, the overhead of the system and the privacy security of the framework. Finally, we summarize our work and introduce our future research directions.

Data privacy breach prevention framework for the cloud service

“…Huang et al . concentrated on symmetric key encryption algorithm clustered with lazy revocation, multi‐tree structure, and extirpation based key derivation algorithm. Li et al .…”

“…Qian et al [8] studied the problem of ensuring the integrity of data storage in cloud storage services. Moreover, data access control mechanisms may be mitigated by handling the private data using monitoring mechanisms in the cloud as discussed by Huang (2010), Udeda (2007) and Knorr (2000). Similarly, Zhang et al [9] checked that the customers need to take certain actions to protect their privacy with noise injection.…”

“…Huang et al [23] encapsulated an interactive protocol and an extirpation-based key derivation algorithm combined with lay revocation, multi-tree structure and symmetric encryption to form an effective framework for privacy preserving by designing of privacy-preserving cloud storage framework. Li et al [24] proposed global enforcement of data assurance control framework to assure data enforcement globally by a policy approach.…”

“…Design of privacy preserving cloud storage framework, global enforcement of data assurance control framework and a compressive sensing-based framework has been proposed literally to preserve user information in the cloud. Huang et al [23] concentrated on symmetric key encryption algorithm clustered with lazy revocation, multi-tree structure, and extirpation based key derivation algorithm. Li et al [24] proposed a policy-based privacy framework T2 T3 T4 T5 T6 T7 T8 T9 T10 Transition Conflict Probability Priority Figure 12.…”

Fully Homomorphic Encryption Based On the Parallel Computing

“…The privacy leakage problem on the untrusted servers has become a serious hazard problem in information security field. For example, the security of the cloud computing platform depends on the situation of solving the privacy leakage problem [1], and meanwhile its solution is also impacts the popularity in the industry. To solve the privacy leakage problem, people mainly use traditional cryptographic methods to encrypt user's privacy data stored on the cloud computing platform, such as the proxy re-encryption algorithm, the property encryption algorithm and so on.…”