计算机工程2017，Vol.43Issue(11)：108-116,9.DOI:10.3969/j.issn.1000-3428.2017.11.018
DS证据理论下融合隐式与显式特征的共谋攻击识别推理模型
Collusion Attack Identification Reasoning Model Fusing Implicit and Explicit Features Under DS Evidence Theory
摘要
Abstract
Collusion attack produced a serious threat to e-commerce trust evaluation mechanism and the existing attack detection model is not able to solve the problem well,combined with the characteristics of domestic C2C e-commerce,this paper uses the goods in collusion attack as the object of detection,fuses explicit and implicit user behavior feature and summary feature of related transactions and buyers,combining the advantages of DS evidence theory in dealing with uncertain problems,puts forward the collusion attack detection model under DS evidence theory.Experimental resultsbased on the real collusion attacks data in e-commerce show that the proposed reasoning model can effectively identify the collusion attack,the extracted attacks can effectively reflect the user's real behavior,effectively distinguish between the goods involved in attacks and legitimate transactions.关键词
共谋攻击/特征提取/攻击识别/DS证据理论/遗传算法Key words
collusion attack/feature extraction/attack identification/DS evidence theory/genetic algorithm分类
信息技术与安全科学引用本文复制引用
赵洁,薛瑞,陈旭,杨雨健..DS证据理论下融合隐式与显式特征的共谋攻击识别推理模型[J].计算机工程,2017,43(11):108-116,9.基金项目
国家自然科学基金“DS证据推理下抗信誉共谋攻击的行为信任研究”(71401045) （71401045）
广东省自然科学基金(2017A030313394). （2017A030313394）
