Integrity Audit of Shared Cloud Data with Identity Tracking

Abstract

More and more users are uploading their data to the cloud without storing any copies locally. Under the premise that cloud users cannot fully trust cloud service providers, how to ensure the integrity of users’ shared data in the cloud storage environment is one of the current research hotspots. In this paper, we propose a secure and effective data sharing scheme for dynamic user groups. (1) In order to realize the user identity tracking and the addition and deletion of dynamic group users, we add a new role called Rights Distribution Center (RDC) in our scheme. (2) To protect the privacy of user identity, when performing third party audit to verify data integrity, it is not possible to determine which user is a specific user. Therefore, the fairness of the audit can be promoted. (3) Define a new integrity audit model for shared cloud data. In this scheme, the user sends the encrypted data to the cloud and the data tag to the Rights Distribution Center (RDC) by using data blindness technology. Finally, we prove the security of the scheme through provable security theory. In addition, the experimental data shows that our proposed scheme is more efficient and scalable than the state-of-the-art solution.

Visual Security Assessment via Saliency-Weighted Structure and Orientation Similarity for Selective Encrypted Images

“…e IVC-SelectEncrypt database consists of 8 original images, 200 encrypted images are generated from them using 5 different encrypted algorithms with 5 different encryption degrees. e range of its mean opinion scores (MOS) is [1,5].…”

“…Nowadays, with the widely pervasive usage of interaction devices, such as cameras, cloud storage devices, and the explosive growth of digital images, privacy protection has attracted a lot of attention from researchers [1][2][3][4][5]. Various security schemes, such as digital watermarking [6][7][8], steganography [9], and encryption [10], have been developed to protect copyright, and encryption is the mostly accepted approach which can ensure the security and integrity of data all the time.…”

An Efficient Integrity Verification and Authentication Scheme over the Remote Data in the Public Clouds for Mobile Users

“…Luo et al in 2018 [29] proposed an efficient scheme using BLS short signatures which preserve the user privacy incurring only less computational and communication complexities. A very useful recent research work which involves the verification of the integrity audit of cloud data was proposed by Yan et al in 2019 [30]. is efficient scheme preserves user privacy along with data blindness at a much less computational cost.…”

An Extensive Review on Data Integrity Schemes and Security Issues in Cloud Paradigm

“…The size of cloud data is huge, entire file downloading to test out the integrity could be unaffordable in terms of bandwidth cost, and therefore, very unfeasible [6,7]. Furthermore, for data integrity checking conventional cryptographic primitives like authorization code (MAC), hash functions cannot be appropriate at this time directly because of the nonexistence of an original file copy for the verification purpose.…”