重要数据完整性分布式检测系统  

Distributed Detection System of Significant Data Integrity

作　　者：邵必林[1] 吴书强[1] 刘江 胡家发 SHAO Bilin;WU Shuqiang;LIU Jiang;HU Jiafa(Xi an University of Architecture and Technology,Xi an 710055,China;203rd Research Institute of Ordnance Industry,Xi an 710065,China)

机构地区：[1]西安建筑科技大学,陕西西安710055 [2]中国兵器工业第203研究所,陕西西安710065

出　　处：《探测与控制学报》2018年第2期93-98,共6页Journal of Detection & Control

基　　金：国家自然科学基金项目资助(61672416)

摘　　要：针对现有支持隐私保护的批量检测方案均未考虑重要数据安全性的问题,提出了一种重要数据完整性分布式检测系统,该系统通过AES-128加密算法对数据进行加密,保证了数据的安全性。在重要数据完整性检测过程中利用双线性映射性质,采用将多个重要数据证据和标签证据加密后聚合,保护用户隐私。基于多个分布式检测代理节点,采用加权最小连接数调度算法动态调整分布式检测代理节点的检测任务,使得分布式检测代理节点的性能与待检测任务数量高度匹配,避免检测堵塞的情况,减少检测任务整体响应时间,增强检测系统的高可用性。理论分析和实验结果表明,该系统在保证安全的前提下具有明显的性能优势,检测效率是现有方法的8.24倍。In view of the fact that the existing batch detection schemes supporting privacy protection do not consider the security of important data,a distributed detection system of significant data integrity was proposed,which encrypted data through aes 128 encryption algorithm to ensure security of significant data.In the process of significant data integrity detection,this scheme utilized bilinear mapping property,and the design adopted to encrypt the data and the label evidence to protect the user s privacy.This scheme based on multiple distributed detection agent node,used the weighted least connection number scheduling algorithm dynamically adjust the detection task of distributed detection agent nodes,made the performance of the distributed detection agent highly matched with the number of tasks to be detected,so it avoided detection jam,reduces the detection task overall response time,enhanced the detection system of high availability.The theoretical analysis and experimental results showed that the system had obvious performance advantages under the premise of ensuring safety,and the efficiency of detection was 8.24 times as that of the existing methods.

关 键 词：AES 128加密算法 完整性检测 数据安全 聚合检测 隐私保护 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]