一种抗共谋攻击的数据完整性审计方案  

A Data Integrity Audit Scheme for Anti-Collusion Attack

作　　者：李昊宇 张之明[2] LI Haoyu;ZHANG Zhiming(Postgraduate Brigade;Department of Information Engineering, Engineering University of PAP,Xi＇an 710086,China)

机构地区：[1]武警工程大学研究生管理大队,西安710086 [2]武警工程大学信息工程系,西安710086

出　　处：《武警工程大学学报》2017年第6期8-12,共5页Journal of Engineering University of the Chinese People＇s Armed Police Force

摘　　要：针对云存储系统易遭到恶意TPA共谋攻击的问题，设计了一种抗共谋攻击的数据完整性审计方案。该方案使用双线性对和盲技术确保用户数据的隐私性，引入多个TPA共同对云端的用户数据进行挑战，由用户对证据进行验证。安全性分析和实验结果表明，该方案能够有效抵御共谋攻击，用户审计开销与经典方案相比明显减少。Concerning the fact that cloud storage system is vulnerable to suffer from the collusion attack by malicious TPA,we design a data integrity audit scheme for anti-collusion attack. Bilinear pairing and blind techniques were used to ensure the privacy of the user＇s data in the scheme. Multiple TPAs are introduced to jointly challenge the user＇s data in the cloud, verifying the proof by the user. The security analysis and experimental results show that the scheme can resist collusion attack effectively and the user＇s audit overhead is significantly reduced compared to the classic scheme.

关 键 词：云存储 数据完整性 双线性对 共谋攻击 盲技术 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]