基于信任和声誉的黑洞型VANETs攻击缓解协议仿真

G. Primiero, Agostino Martorana, J. Tagliabue
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引用次数: 9

摘要

从安全的角度来看,由于无线系统的分散性和开放性,vanet(车辆自组织网络)容易受到恶意用户的攻击。对于许多这类攻击,检测是不可行的,因此很难产生安全性。尽管它们的特征是动态可重构网络,但仍然有必要确定拓扑和种群属性,以优化缓解协议的部署。在本文中,我们提供了基于信任和缓解的协议的算法定义和模拟,以包含对VANET的黑洞式攻击。我们通过实验证明了它的最佳工作条件:完全连接,其次是随机网络;连接外部网络;协议的早期部署和消息的排序。我们将结果与现有协议的结果进行了比较,未来的工作将集中在重复广播、机会消息转发和真实数据测试上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of a Trust and Reputation Based Mitigation Protocol for a Black Hole Style Attack on VANETs
From a security standpoint, VANETs (Vehicular ad hoc Networks) are vulnerable to attacks by malicious users, due to the decentralized and open nature of the wireless system. For many of these kinds of attacks detection is unfeasible, thus making it hard to produce security. Despite their characterization as dynamically reconfigurable networks, it is nonetheless essential to identify topology and population properties that can optimise mitigation protocols' deployment. In this paper, we provide an algorithmic definition and simulation of a trust and mitigation based protocol to contain a Black Hole style attack on a VANET. We experimentally show its optimal working conditions: total connectivity, followed by a random network; connection to external networks; early deployment of the protocol and ranking of the message. We compare results with those of existing protocols and future work shall focus on repeated broadcasting, opportunistic message forwarding and testing on real data.
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