泛在网络隐私大数据完整性验证算法研究

Research on Integrity Verification Algorithm of Ubiquitous Network Privacy Big Data

为了确保大数据的完整性,对泛在网络隐私大数据完整性验证算法进行研究。首先,确定单项验证主私钥数值,并设计IDB-RDIC安全重叠验证计算结构;其次,创建安全循环描述完整性验证算法模型,同时建立双线性验证矩阵,完成对大数据完整性验证算法的设计;最后,设计对比实验。测试结果表明,在不同的测试时间下,与传统的多云存储大数据完整性验证算法相比,本文设计的隐私大数据完整性验证算法最终得出的哈希比相对较高,表明该算法的实际应用效果更佳,误差较小,具有实际的应用意义。

In order to ensure the integrity of big data, the ubiquitous network privacy big data integrity verification algorithm is studied. Firstly, the value of single verification master private key is determined, and the IDB-RDIC security overlap verification calculation structure is designed;Secondly, the security loop description integrity verification algorithm model is created, and the bilinear verification matrix is established to complete the design of big data integrity verification algorithm;Finally, a comparative experiment is designed. The test results show that under different test times, compared with the traditional multi cloud storage big data integrity verification algorithm, the final hash ratio of the privacy big data integrity verification algorithm designed in this paper is relatively high, indicating that the practical application effect of the algorithm is better, the error is small, and has practical application significance.