Trust Measurement Methods in Organic Computing Systems by Direct Observation

Rolf Kiefhaber, B. Satzger, J. Schmitt, Michael Roth, T. Ungerer
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引用次数: 14

Abstract

Trust is an important factor for autonomous distributed systems. Organic Computing features self-organizing techniques to manage complex distributed systems. This paper introduces two methods to measure and calculate trust values with respect to the reliability of other nodes by direct observation introducing minimum overhead. We demonstrate this approach using a simulator and show that both algorithms converge towards the fixed real trust value and stay within close bounds of it. Evaluations also show the amount of measurements needed to calculate a meaningful trust value as well as the importance of the nodes' own reliability value when measuring another node. Additionally, we introduce an enhancement of one method to calculate a meaningful trust even by an unreliable observer.
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基于直接观测的有机计算系统信任度量方法
信任是自治分布式系统的一个重要因素。有机计算的特点是采用自组织技术来管理复杂的分布式系统。本文介绍了两种通过引入最小开销的直接观测来测量和计算相对于其他节点可靠性的信任值的方法。我们使用模拟器验证了这种方法,并证明了两种算法都收敛于固定的真实信任值,并保持在其接近的范围内。评估还显示了计算有意义的信任值所需的测量量,以及在测量另一个节点时节点自身可靠性值的重要性。此外,我们还介绍了一种方法的改进,即使是不可靠的观察者也可以计算有意义的信任。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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