ID-based sanitizable signature data integrity auditing scheme with privacy-preserving

Liu, Zhenpeng; Ren, Lele; Li, Ruilin; Liu, Qiannan; Zhao, Yongjiu

doi:10.1016/j.cose.2022.102858

Cited by 11 publications

(9 citation statements)

References 25 publications

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“…Public key cryptography techniques are highly employed in designing and developing public data auditing schemes [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [14], [16], [17], [23], [24], [25], [28], [30], [31], [40]. The metadata generation, a core component of a data auditing scheme, employs user private keys.…”

Section: B Related Workmentioning

confidence: 99%

“…While the user trusts and assumes the confidentiality of data files at the cloud server, there is still concern about remote data file integrity. Numerous schemes in the literature [2], [3], [4], [5], [7], [9], [10], [11], [12], [14], [15], [16], [17], [18], [19], [23], [24], [25], [26], [28], [29], [30], [31], [32], [40], [41], [42] provide remote data integrity checking (RDIC) mechanisms that allow the user to verify the integrity of the remote data file. An RDIC scheme contains two main components: The first is called the preprocessing component, and the second is called the auditing component.…”

Section: Introductionmentioning

confidence: 99%

“…There are several RDIC schemes for single-user settings [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [14], [16], [17], where a single cloud user owns a data file and performs the auditing task accordingly. In contrast, some critical infrastructure networks require multiple users to form a group, contribute, and compute on a commonly shared data file.…”

Section: Introductionmentioning

confidence: 99%

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A Distributed and Decentralized Certificateless Framework for Reliable Shared Data Auditing for FOG-CPS Networks

Burra

Maity

2023

IEEE Access

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FOG computing enhances communication efficiency by processing data at the network's edge. In many critical infrastructure (CI) networks, user entities outsource data to the FOG server, but the reliability of the data is a concern. To avoid incorrect decision-making due to corrupt data, a data auditing process is mandatory. Further, a group of user entities in a CI network generate data onto a common file and outsource the file to the FOG server. Auditing such shared group data creates additional complexities. Existing shared group data auditing schemes using public key infrastructure (PKI) or identity-based cryptography (IBC) face challenges such as certificate management or key escrow problems respectively. While, certificateless cryptography (CLC) offers better security and efficiency, but many CLC-based shared group data auditing schemes lack protection against key generation center compromise. The key generation process in many of the existing shared group data auditing schemes is centralized and does not support flexible user entity admission. This paper proposes a distributed and decentralized cryptography approach to enhance the security of key generation for group members. The scheme offers flexible user admission, allowing for full or semi-membership. The proposed scheme provides efficient and secure shared group data auditing against public key replacement, metadata forgery, and integrity attacks, as shown by performance evaluation and security analysis.

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Section: B Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Distributed and Decentralized Certificateless Framework for Reliable Shared Data Auditing for FOG-CPS Networks

Burra

Maity

2023

IEEE Access

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“…Once the data is uploaded to the cloud, the data 10.3389/fenrg.2022.1058125 owner will lose the physical control of the smart grid data stored in the cloud and cannot directly determine whether the data is intact or not. In order to ensure the integrity of cloud data, plenty of public auditing schemes are proposed (Ji et al, 2022;Li et al, 2021;Zhou et al, 2021;Liu et al, 2022). In public auditing, the data owner can delegate the data integrity auditing tasks to a Third Party Auditor (TPA) with abundant computation resources.…”

Section: Introductionmentioning

confidence: 99%

Certificateless public auditing with data privacy preserving for cloud-based smart grid data

et al. 2023

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As the promising next generation power system, smart grid can collect and analyze the grid information in real time, which greatly improves the reliability and efficiency of the grid. However, as smart grid coverage expands, more and more data is being collected. To store and manage the massive amount of smart grid data, the data owners choose to upload the grid data to the cloud for storage and regularly check the integrity of their data. However, traditional public auditing schemes are mostly based on Public Key Infrastructure (PKI) or Identity Based Cryptography (IBC) system, which will lead to complicated certificate management and inherent key escrow problems. We propose a certificateless public auditing scheme for cloud-based smart grid data, which can avoid the above two problems. In order to prevent the disclosure of the private data collected by the smart grid during the phase of auditing, we use the random masking technology to protect data privacy. The security analysis and the performance evaluation show that the proposed scheme is secure and efficient.

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“…In the area of data integrity verification, Liu [2] et al proposed a sanitizable signature data integrity verification technique. This technique uses the idea of sanitizability to sanitize data, protect privacy and generate signatures to verify the integrity of data.…”

Section: Introductionmentioning

confidence: 99%

An overview of the application and development of data integrity verification techniques

Yu,

Zhang,

et al. 2023

Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023)

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With the development of computer technology to date, there is a large amount of data to be transmitted, processed, analyzed and stored, so the issue of data security is a very important aspect. Data integrity verification is an important part of operating system security or cloud server security, data integrity is the property that data has not been tampered with, damaged or lost during transmission and storage, data integrity that is compromised may result in data integrity, if compromised, can lead to data unavailability, which can lead to larger security issues. Therefore, to ensure the security of an operating system or cloud server, effective techniques and methods must be adopted in the operating system to protect data integrity. There are various data integrity verification techniques available, such as digital signature algorithms (DSA), Merkle hash tree and blockchain-based decentralization data storage and verification techniques. In this paper, current data integrity verification techniques are analyzed and presented.

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ID-based sanitizable signature data integrity auditing scheme with privacy-preserving

Cited by 11 publications

References 25 publications

A Distributed and Decentralized Certificateless Framework for Reliable Shared Data Auditing for FOG-CPS Networks

A Distributed and Decentralized Certificateless Framework for Reliable Shared Data Auditing for FOG-CPS Networks

Certificateless public auditing with data privacy preserving for cloud-based smart grid data

An overview of the application and development of data integrity verification techniques

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