计算机工程与科学2026，Vol.48Issue(4)：640-649,10.DOI:10.3969/j.issn.1007-130X.2026.04.008
群智感知中基于三支决策的恶意用户检测方法
A malicious user detection method based on three-way decision in mobile crowdsensing
摘要
Abstract
Malicious users pose a significant security threat to mobile crowdsensing networks,se-verely impacting their service performance and data quality.However,existing binary(black-and-white)malicious user detection methods lack mechanisms for handling suspicious users,leaving persis-tent security vulnerabilities.To address this issue,this paper proposes a malicious user detection meth-od based on three-way decision.Firstly,an evaluation probability function is constructed using user be-havior,data quality,and user recommendations as evaluation metrics.Then,the three-way decision method is employed to classify users into three categories:trust-worthy users,suspicious users,and malicious users.Finally,the grey correlation analysis method is utilized to dynamically identify mali-cious users among the suspicious ones.Simulation experiments demonstrate that the proposed detection method performs well in terms of accuracy,false positive rate,and false negative rate,effectively en-hancing the security performance of mobile crowdsensing networks.关键词
群智感知/三支决策/灰色关联分析/恶意用户检测Key words
crowdsensing/three-way decision/grey correlation analysis/malicious user detection分类
信息技术与安全科学引用本文复制引用
李志雯,万子轩,赵国生,廖祎玮..群智感知中基于三支决策的恶意用户检测方法[J].计算机工程与科学,2026,48(4):640-649,10.基金项目
国家自然科学基金(61202458,61403109) （61202458,61403109）
黑龙江省自然科学基金(LH2020F034) （LH2020F034）
