基于自适应交互反馈的电力终端信任度评估机制  

Adaptive interaction feedback based trust evaluation mechanism for power terminals

作　　者：魏兴慎 高鹏 吕卓 曹永健 周剑 屈志昊 WEI Xingshen;GAO Peng;LYU Zhuo;CAO Yongjian;ZHOU Jian;QU Zhihao(Nanjing NARI Information and Communication Technology Company Limited,NARI Group Corporation/State Grid Electric Power Research Institute,Nanjing Jiangsu 201137,China;State Grid Henan Electric Power Research Institute,Zhengzhou Henan 450052,China;School of Computer and Information,Hohai University,Nanjing Jiangsu 211100,China)

机构地区：[1]南瑞集团有限公司(国网电力科学研究院有限公司)南京南瑞信息通信科技有限公司,南京201137 [2]国网河南省电力公司电力科学研究院,郑州450052 [3]河海大学计算机与信息学院,南京211100

出　　处：《计算机应用》2023年第6期1878-1883,共6页journal of Computer Applications

基　　金：国家电网有限公司总部科技项目(5108-202224046A-1-1-ZN)。

摘　　要：在电力系统中,终端设备的信任度评估是实现访问权限分级、数据安全采集的关键技术,对于保证电网安全稳定运行具有重要意义。传统的信任度评估模型通常基于终端设备身份识别、运行状态和交互记录等直接计算信任度评分,在面临间接攻击和节点共谋时,性能较差。针对上述问题,提出一种基于自适应交互反馈的信任度评估(Adaptive Interaction Feedback based Trust evaluation,AIFTrust)机制。所提机制通过直接信任评估模块、信任推荐模块和信任聚合模块全面地度量设备的信任等级,针对电力信息系统中海量协作终端精准地评估信任度。首先,直接信任评估模块引入交互成本,并基于信任衰减策略计算恶意目标终端的直接信任评分;其次,信任推荐模块引入经验相似性,并通过二次聚类推荐相似终端以提高推荐信任度评分的可靠性;然后,信任聚合模块基于信任评分准确性自适应地聚合直接信任度评分和推荐信任度评分。在真实数据集和生成数据集上的仿真实验结果均表明,在攻击概率为30%、信任衰减率为0.05时,AIFTrust相较于基于相似度的信任评估方法SFM(Similarity FraMework)和基于客观信息熵的信任评估方法CRT(Reputation Trusted based on Cooperation)在推荐准确度上分别提高13.30%和14.81%。In power system,the trust evaluation of terminals is a key technology to grade the access and securely collect data,which is critical to ensure the safe and stable operation of the power grid.Traditional trust evaluation models usually calculate the trust score directly based on identification,running states and interaction histories,etc.of the terminals,and show poor performance with indirect attacks and node collusion.To address these problems,an Adaptive Interaction Feedback based Trust evaluation(AIFTrust)mechanism was proposed.In the proposed mechanism,device trust level was measured comprehensively based on direct trust evaluation module,trust recommendation module and trust aggregation module,and accurate trust evaluation for massive collaborative terminals in power information systems was achieved.First,

关 键 词：信任度评估 交互成本 经验相似性 信任聚合 信任衰减 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]