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Activity Stereotypes, or How to Cope with Disconnection during Trust Bootstrapping

机译:活动刻板印象,或如何处理信任引导过程中的断开连接

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摘要

Trust-based systems have been proposed as means to fight against malicious agents in peer-to-peer networks, volunteer and grid computing systems, among others. However, there still exist some issues that have been generally overlooked in the literature. One of them is the question of whether punishing disconnecting agents is effective. In this paper, we investigate this question for these initial cases where prior direct and reputational evidence is unavailable, what is referred in the literature as trust bootstrapping . First, we demonstrate that there is not a universally optimal penalty for disconnection and that the effectiveness of this punishment is markedly dependent on the uptime and downtime session lengths. Second, to minimize the effects of an improper selection of the disconnection penalty, we propose to incorporate predictions into the trust bootstrapping process. These predictions based on the current activity of the agents shorten the trust bootstrapping time when direct and reputational information is lacking.
机译:已经提出了基于信任的系统作为对抗对等网络,志愿者和网格计算系统等中的恶意代理的手段。但是,仍然存在一些文献中通常忽略的问题。其中之一是惩罚断开连接的代理是否有效的问题。在本文中,我们针对无法获得先前直接和声誉证据的最初情况调查此问题,在文献中称为信任自举。首先,我们证明对断开连接没有普遍的最佳惩罚,并且这种惩罚的有效性明显取决于正常运行时间和停机时间。其次,为了最大程度地减少不正确选择断开连接惩罚的影响,我们建议将预测合并到信任引导过程中。当缺少直接和声誉信息时,这些基于代理当前活动的预测会缩短信任启动时间。

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