Multi-agent distributed systems are characterized by autonomous entities that interact with each other to provide, and/or request, different kinds of services. In several contexts, especially when a reward is offered according to the quality of service, individual agents (or coordinated groups) may act in a selfish way. To prevent such behaviours, distributed Reputation Management Systems (RMSs) provide every agent with the capability of computing the reputation of the others according to direct past interactions, as well as indirect opinions reported by their neighbourhood. This last point introduces a weakness on gossiped information that makes RMSs vulnerable to malicious agents’ intent on disseminating false reputation values. Given the variety of application scenarios in which RMSs can be adopted, as well as the multitude of behaviours that agents can implement, designers need RMS evaluation tools that allow them to predict the robustness of the system to security attacks, before its actual deployment. To this aim, we present a simulation software for the vulnerability evaluation of RMSs and illustrate three case studies in which this tool was effectively used to model and assess state-of-the-art RMSs.

中文翻译：

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声誉管理系统漏洞评估仿真软件

多代理分布式系统的特点是自治实体相互交互以提供和/或请求不同种类的服务。在某些情况下，特别是当根据服务质量提供奖励时，个体代理人（或协调的团体）可能会以自私的方式行事。为了防止此类行为，分布式声誉管理系统 (RMS) 为每个代理提供了根据过去的直接交互以及邻居报告的间接意见计算其他代理的声誉的能力。最后一点介绍了八卦信息的弱点，这使得 RMS 容易受到恶意代理传播虚假信誉值的意图的攻击。鉴于可以采用 RMS 的应用场景多种多样，除了代理可以实现的众多行为外，设计人员还需要 RMS 评估工具，让他们能够在实际部署之前预测系统对安全攻击的鲁棒性。为此，我们提出了一种用于 RMS 漏洞评估的模拟软件，并说明了三个案例研究，其中该工具被有效地用于建模和评估最先进的 RMS。