摘要
在线服务信誉是若干服务信用行为累积的结果,对于在线服务选择具有重要的作用.信誉系统管理者为获取不当利益,可通过删除、增加用户或服务进行控制以达到操纵服务信誉的目的.为此提出利用Fallback的在线服务信誉防控制机制.首先获取所有用户对在线服务的序数偏好集合;其次根据所有用户的序数偏好得到满足Fallback绝对多数阈值条件的在线服务信誉向量;然后将在线服务信誉控制建模为判断某一服务是否能通过控制成为信誉最高的服务的问题;最后证明Fallback方法的防控制性,即证明该控制问题是固定参数不可解的.通过实验进一步验证了该方法防控制的有效性.实验结果表明,该方法可以有效防止信誉系统内部能够掌握用户偏好的管理者的控制.
Online service reputation is the result of several service credit behaviors,which plays an important role in online service selection.In order to obtain improper benefits,some managers of reputation system control service reputation by deleting or adding users and services.For this reason,an online service reputation anti-control mechanism using Fallback is proposed.Firstly,get the ordinal preference set of all users for online service;Secondly,according to the ordinal preference of all users,the online service reputation vector satisfying Fallback absolute majority threshold is obtained.Then the online service reputation control is modeled as a question to determine whether a certain service can become the most reputable service through control.Finally,Fallback method is proved to be anti-control,that is,the control problem is fixed parameter intractable.The experiment further verifies the effectiveness of anti-control.The experimental results show that this method can effectively prevent the control of managers who can grasp users′preferences within the reputation system.
作者
李方
付晓东
岳昆
刘骊
刘利军
冯勇
LI Fang;FU Xiao-dong;YUE Kun;LIU Li;LIU Li-jun;FENG Yong(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China;Yunnan Provincial Key Laboratory of Computer Technology Application,Kunming University of Science and Technology,Kunming 650500,China;School of Information Science and Engineering,Yunnan University,Kunming 650091,China)
出处
《小型微型计算机系统》
CSCD
北大核心
2022年第2期263-270,共8页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(61962030,U1802271,61862036)资助
云南省杰出青年科学基金项目(2019FJ011)资助
云南省青年学术和技术带头人基金项目(202005AC160036)资助
