云存储中支持数据完整性验证的隐私保护融合算法

Privacy preserving fusion algorithm for data integrity verification in cloud storage

针对云存储系统在传输过程中存储数据隐私的泄露、篡改、虚假注入等安全问题,采用加权的模式将需要保护的数据ID号进行隐性传送,并结合数据干扰技术把ID号当成干扰因子实施数据隐私性保护。结合云存储系统在网络传输中的安全需求,提出对数据进行完整性验证的新算法。经过Visual J++6.0仿真程序进行模拟实验,结果表明,新的算法综合考虑数据隐私保护和完整性验证,在性能上要优于如PDP、FTP等传统算法,大大降低通信及验证时间开销,更好地保护数据隐私。

In the transmission process of cloud storage system in order to store data privacy leakage,tampering,false injection and other security issues,the weighted model can protect the data ID recessive transmission when combined with the data interference to ID,as the interference factor for implementing data privacy protection.With the security requirements of cloud storage system in the network transmission,a new algorithm to verify the integrity of the data is proposed. After the simulation experiment of Visual J ＋ ＋ 6 simulation program,the result proved that the new algorithm of data privacy and integrity verification performance are superior to the traditional algorithms,such as PDP,FTP,greatly reduce the communication overhead and verification time,better data privacy protection.