摘要
在云存储环境中,为了保护用户数据安全,云服务提供商会把用户数据进行冗余备份,然后分别存储在不同的节点上.为了解决用户副本安全这个问题,使用随机掩码对用户数据进行数据隐私处理,采用自适应Trie树结构来提高数据块的签名效率,设计保护用户冗余副本的数据完整性验证方案.该方案能够实现数据动态更新,提高了数据验证效率,通过委托可信的第三方对数据进行批量审计.仿真实验结果表明,该方案具有可行性和高效性.
In cloud storage environment, in order to protect user's data security,cloud service providers will make redundant backups of user data and store them on different nodes. In order to solve the problem of user copy security, this paper uses random mask to process data privacy of user data, uses adaptive Trie tree structure to improve the efficiency of data block signature, and designs a data integrity verification scheme to protect redundant copies of users. The program can achieve dynamic data updates, improve the efficiency of data validation, and conduct trusted audits of data through trusted third parties. Simulation results show that the scheme is feasible and efficient.
作者
潘洪志
方群
何昕
Pan Hongzhi;Fang Qun;He Xin(School of Computer and Information,Anhui Normal University,Wuhu,Anhui 241002;Key Laboratory of Network and Information Security,Anhui Province(Anhui Normal University),241002)
出处
《信息安全研究》
2018年第6期526-532,共7页
Journal of Information Security Research
基金
安徽师范大学博士启动基金项目(2017XJJ24)
关键词
云存储
隐私保护
多副本
动态更新
数据完整性
cloud storage
privacy protection
multiple copies
dynamic updates
data integrity