RRM: An incentive reputation model for promoting good behaviors in distributed systems

Reputation systems represent soft security mechanisms that complement traditional information security mechanisms. They are now widely used in online e-commerce markets and communities in order to stimulate good behaviors as well as to restrain adverse behaviors. This paper analyzes the limitations of the conversational reputation models and proposes an incentive reputation model called the resilient reputation model （RRM） for the distributed reputation systems. The objective of this reputation model is not only to encourage the users to provide good services and, therefore, to maximize the probability of good transaction outcomes, but also to punish those adverse users who are trying to manipulate the application systems. The simulation results indicate that the proposed reputation model （RRM） could effectively resist against the common adverse behaviors, while protecting the profits of sincere users from being blemished by those adversaries.     

无线Mesh网络中基于跨层信誉机制的安全路由协议简

Wireless mesh networks are faced with various security threats due to their special infrastructure and communication mode, where the internal attacks aiming at routing security and user privacy security are one of the most challenging issues. In this paper a novel cross layer reputation mechanism is first proposed to identify and isolate the internal malicious nodes. Then, a privacy-aware secure routing protocol CR-HWMP based on the proposed reputation mechanism is proposed. Performance analysis and simulation results show that CR-HWMP can effectively implement the privacy preserving and defend against the internal attacks such as black hole and gray hole, and improve the reliability, robustness and security of the wireless mesh networks efficiently.     

无结构对等网络中基于信誉的激励模型研究

将社会网中的信任机制引入到无结构对等网络中,通过社会网相关理论在节点间构建信任关系.把网络中每个节点同时拥有的＂服务贡献者＂和＂服务消费者＂这两个不同角色,分别采用不同的信誉值进行衡量与评估,并以此构建激励模型.在推荐信誉值的评估中,进行了针对恶意节点虚假推荐值的去噪声处理,提高了信誉值评估的抗干扰性.实验结果表明,该模型能够有效抑制搭便车和恶意节点等不合作节点的行为,在保障系统公平性的同时,提高了系统的可靠性与服务质量.     

基于群组的C2C电子商务信任模型研究

国内的电子商务平台大多采用eBay信任模型,对买家反馈评分进行简单累加得到卖家信誉值,未区分买家反馈评分的合理性及其参考价值的重要程度。为此,提出一种基于群组的C2C电子商务信任模型,通过计算买家与卖家的熟悉度,确定买家的可信度,综合考虑反馈评分、交易次数、交易价格、交易时间、以往买家的可信度对信誉的影响,构建电子商务信任模型。模拟实验结果证明,相比Sporas模型,该模型能为买家提供更全面、更准确的卖家信誉信息。     

基于网络声誉的供应商选择模糊规划模型

根据网络声誉在供应商选择中的重要作用, 运用不确定理论, 对选择最有效的供应商组合问题进行研究。先运用模糊线性权重法确定供应商的声誉综合评价值,再结合产品成本、市场需求等内外环境因素,建立了模糊环境下的供应商组合选择模型,以确定最优的供应商组合及订货量。通过运用一种基于模糊模拟、遗传算法及神经网络的混合智能算法进行算例分析,验证了模型的可行性。     

AN INTEGRATED CLUSTERING‐BASED APPROACH TO FILTERING UNFAIR MULTI‐NOMINAL TESTIMONIES

Reputation systems have contributed much to the success of electronic marketplaces. However, the problem of unfair testimonies has to be addressed effectively to improve the robustness of reputation systems. Until now, most of the existing approaches focus only on reputation systems using binary testimonies, and thus have limited applicability and effectiveness. In this paper, We propose an i ntegrated CLU stering‐ B ased approach called iCLUB to filter unfair testimonies for reputation systems using multinominal testimonies, in an example application of multiagent‐based e‐commerce. It adopts clustering techniques and considers buyer agents’ local as well as global knowledge about seller agents. Experimental evaluation demonstrates the promising results of our approach in filtering various types of unfair testimonies, its robustness against collusion attacks, and better performance compared to competing models.     

SNS中结合声誉与主观逻辑的信任网络分析*

提出一种结合声誉与主观逻辑的信任网络分析方法,结合声誉与朋友间的信任关系来获得信任值。由于推荐来自信任的朋友也基于普遍的社会声誉,信任计算的结果更能反映真实情况。仿真实验及分析表明,该方法具有较高的效率和准确度。     

电子商务系统信任管理研究综述*

通过分析目前电子商务信任模型的研究现状,总结出了研究信任模型的主要方法,讨论了信任研究中所涉及的各种问题,并指出了下一步研究的方向和思路。     

不同类型组织R&D行为与绩效差异分析

有效开展R&D是实现经济增长、组织进步的关键,主流经济学探索了技术进步和经济发展的内在关系,提出技术进步是通过组织和单个行为人的行动实现的。在构建R&D活动中组织行为逻辑的基础上,文章采取分层抽样的统计方法,对甘肃省2007年的科技计划项目进行了分析,比较了高等院校、企业和科研院所的几种典型行为,从而印证了组织的行为逻辑。     

医院社会责任和财务绩效：声誉的中介作用

医院应该承担更多的社会责任,我国医院社会责任的理论研究和实践活动都处于起步阶段。医院社会责任和财务绩效的关系,成为医院社会责任活动最重要的驱动因素。医院社会责任的履行会对短期财务绩效带来负面影响,而正向影响医院的长期财务绩效,这种正向影响主要是通过医院声誉这个中介变量来完成传导的。