Identity-based public data integrity verification scheme in cloud storage system via blockchain

Author(s):  
Yilin Yuan ◽  
Jianbiao Zhang ◽  
Wanshan Xu ◽  
Zheng Li
Information ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 409
Author(s):  
Yuan Ping ◽  
Yu Zhan ◽  
Ke Lu ◽  
Baocang Wang

Although cloud storage provides convenient data outsourcing services, an untrusted cloud server frequently threatens the integrity and security of the outsourced data. Therefore, it is extremely urgent to design security schemes allowing the users to check the integrity of data with acceptable computational and communication overheads. In this paper, we first propose a public data integrity verification scheme based on the algebraic signature and elliptic curve cryptography. This scheme not only allows the third party authority deputize for users to verify the outsourced data integrity, but also resists malicious attacks such as replay attacks, replacing attack and forgery attacks. Data privacy is guaranteed by symmetric encryption. Furthermore, we construct a novel data structure named divide and conquer hash list, which can efficiently perform data updating operations, such as deletion, insertion, and modification. Compared with the relevant schemes in the literature, security analysis and performance evaluations show that the proposed scheme gains some advantages in integrity verification and dynamic updating.


2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
K. Mahalakshmi ◽  
K. Kousalya ◽  
Himanshu Shekhar ◽  
Aby K. Thomas ◽  
L. Bhagyalakshmi ◽  
...  

Cloud storage provides a potential solution replacing physical disk drives in terms of prominent outsourcing services. A threaten from an untrusted server affects the security and integrity of the data. However, the major problem between the data integrity and cost of communication and computation is directly proportional to each other. It is hence necessary to develop a model that provides the trade-off between the data integrity and cost metrics in cloud environment. In this paper, we develop an integrity verification mechanism that enables the utilisation of cryptographic solution with algebraic signature. The model utilises elliptic curve digital signature algorithm (ECDSA) to verify the data outsources. The study further resists the malicious attacks including forgery attacks, replacing attacks and replay attacks. The symmetric encryption guarantees the privacy of the data. The simulation is conducted to test the efficacy of the algorithm in maintaining the data integrity with reduced cost. The performance of the entire model is tested against the existing methods in terms of their communication cost, computation cost, and overhead cost. The results of simulation show that the proposed method obtains reduced computational of 0.25% and communication cost of 0.21% than other public auditing schemes.


2019 ◽  
Vol 96 ◽  
pp. 376-385 ◽  
Author(s):  
Yongkai Fan ◽  
Xiaodong Lin ◽  
Gang Tan ◽  
Yuqing Zhang ◽  
Wei Dong ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Gaopeng Xie ◽  
Yuling Liu ◽  
Guojiang Xin ◽  
Qiuwei Yang

With the large-scale application of cloud storage, how to ensure cloud data integrity has become an important issue. Although many methods have been proposed, they still have their limitations. This paper improves some defects of the previous methods and proposes an efficient cloud data integrity verification scheme based on blockchain. In this paper, we proposed a lattice signature algorithm to resist quantum computing and introduced cuckoo filter to simplify the computational overhead of the user verification phase. Finally, the decentralized blockchain network is introduced to replace traditional centralized audit to publicize and authenticate the verification results, which improves the transparency and the security of this scheme. Security analysis shows that our scheme can resist malicious attacks and experimental results show that our scheme has high efficiency, especially in the user verification phase.


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