动态多凸点:无线传感器网络的自适应信任模型

Gulustan Dogan, Koksal Avincan, T. Brown
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引用次数: 2

摘要

在无线传感器网络中,由于各种原因,如低功耗、恶劣的环境条件、意外攻击、硬件缺陷等,节点在初始设置后会出现不可信的情况。当节点开始发送错误的数据时,网络就会产生错误的观察结果。数据错误会对无线传感器网络产生严重影响,例如导致关键任务网络的错误决策。在我们早期的工作中,我们为一跳WSNs设计了一个名为突起的架构[1]。在pluto中,在部署时选择静态信任阈值。在这项工作中,我们以动态选择信任阈值的方式重新开发了多跳网络的算法。我们进行了仿真,以测试所提出的架构DynamicProTru的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DynamicMultiProTru: An adaptive trust model for Wireless Sensor Networks
In Wireless Sensor Networks nodes can get untrusted after initial setup due to different reasons such as low energy, difficult environmental conditions, unexpected attacks, hardware defects. When nodes start sending faulty data, the network creates wrong observations. Errors in data can have severe impacts in wireless sensor networks such as leading to wrong decisions mission critical networks. In our earlier work, we designed an architecture for one-hop WSNs called ProTru[1]. In ProTru a static trust threshold was chosen at the time of deployment. In this work, we redeveloped the algorithm for multi-hop networks in a way that trust thresholds are chosen dynamically. We ran simulations to test the effectiveness of this proposed architecture DynamicProTru.
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