网络技术中信任向量的使用及信任向量可用历史数据的限制

Michael Stevens, Paul D. Williams
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引用次数: 9

摘要

CyberCraft计划正在设计一个代理系统,为未来空军信息系统提供指挥和控制。在这样一个分布式环境中,智能体之间的信任通过合并相互冲突的数据并给予指挥官对其网络控制的信心,从而为作战指挥官提供准确的网络图像。信任向量模型打破了传统的信任模型,因为它为数据提供了一系列信任值,使系统能够描述数据中的部分信任,而不是信任或不信任的二元值,并以此为基础在融合数据中构建置信区间。信任向量模型基于当前和历史数据构建信任,但没有解决历史数据效用的限制。该研究为信任向量模型的实现者提供了应该存储多少历史数据的输入,以平衡信任的准确性和存储限制
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of Trust Vectors for CyberCraft and the Limits of Usable Data History for Trust Vectors
The CyberCraft initiative is designing a system of agents to provide command and control of future air force information systems. In such a distributed environment, trust between agents becomes pertinent to provide a combatant commander an accurate picture of the network by merging conflicting data and giving the commander confidence in the control of their network. The trust vector model breaks from traditional trust models as it provides a range of trust values for data, enabling the system to describe partial trust in data rather than binary values of trust or no trust, and from that build confidence intervals in fused data. The trust vector model builds trust based on current and historical data, but does not address the limits of utility of the historical data. This research provides implementors of the trust vector model input as to how much historical data should be stored to balance accuracy of trust with limits of storage
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