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Adaptive Trust Model for secure geographic routing in Wireless Sensor Networks

机译：无线传感器网络中用于安全地理路由的自适应信任模型

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摘要

Adaptive Trust Model (ATM) for secure geographic routing has been presented in this paper. Unlike conventional weight based trust models, ATM adjusts the weights associated with the network activities. In this model, direct trust has been considered to restrict the reputation based attacks. Due to the flexibility of weights adjustment, ATM dynamically identifies malicious nodes and directs the route towards trustworthy nodes. This ATM has been integrated into Greedy Perimeter Stateless Routing (GPSR) protocol. Simulation results using the network simulator ns-2 have shown that GPSR with ATM is robust in detecting malicious nodes.
机译：本文介绍了用于安全地理路由的自适应信任模型（ATM）。与传统的基于权重的信任模型不同，ATM会调整与网络活动关联的权重。在此模型中，已经考虑了直接信任来限制基于信誉的攻击。由于权重调整的灵活性，ATM可以动态识别恶意节点，并将路由定向到可信赖的节点。此ATM已集成到贪婪边界无状态路由（GPSR）协议中。使用网络仿真器ns-2进行的仿真结果表明，带有ATM的GPSR在检测恶意节点方面非常强大。

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