data integrity checking
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2021 ◽  
Vol 152 ◽  
pp. 1-10
Author(s):  
Huaqun Wang ◽  
Debiao He ◽  
Jia Yu ◽  
Neal N. Xiong ◽  
Bin Wu


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Guangjun Liu ◽  
Wangmei Guo ◽  
Ximeng Liu ◽  
Jinbo Xiong

Enabling remote data integrity checking with failure recovery becomes exceedingly critical in distributed cloud systems. With the properties of a lower repair bandwidth while preserving fault tolerance, regenerating coding and network coding (NC) have received much attention in the coding-based storage field. Recently, an outstanding outsourced auditing scheme named NC-Audit was proposed for regenerating-coding-based distributed storage. The scheme claimed that it can effectively achieve lightweight privacy-preserving data verification remotely for these networked distributed systems. However, our algebraic analysis shows that NC-Audit can be easily broken due to a potential defect existing in its schematic design. That is, an adversarial cloud server can forge some illegal blocks to cheat the auditor with a high probability when the coding field is large. From the perspective of algebraic security, we propose a remote data integrity checking scheme RNC-Audit by resorting to hiding partial critical information to the server without compromising system performance. Our evaluation shows that the proposed scheme has significantly lower overhead compared to the state-of-the-art schemes for distributed remote data auditing.







2020 ◽  
Vol 57 (6) ◽  
pp. 102355 ◽  
Author(s):  
Quanyu Zhao ◽  
Siyi Chen ◽  
Zheli Liu ◽  
Thar Baker ◽  
Yuan Zhang


2020 ◽  
Vol 527 ◽  
pp. 210-226 ◽  
Author(s):  
Tong Wu ◽  
Guomin Yang ◽  
Yi Mu ◽  
Rongmao Chen ◽  
Shengmin Xu


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