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On the Vulnerabilities of Voronoi-Based Approaches to Mobile Sensor Deployment

机译:基于Voronoi的移动传感器部署方法的漏洞

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Mobile sensor networks are the most promising solution to cover an Area of Interest (AoI) in safety critical scenarios. Mobile devices can coordinate with each other according to a distributed deployment algorithm, without resorting to human supervision for device positioning and network configuration. In this paper, we focus on the vulnerabilities of the deployment algorithms based on Voronoi diagrams to coordinate mobile sensors and guide their movements. We give a geometric characterization of possible attack configurations, proving that a simple attack consisting of a barrier of few compromised sensors can severely reduce network coverage. On the basis of the above characterization, we propose two new secure deployment algorithms, named SecureVor and Secure Swap Deployment (SSD). These algorithms allow a sensor to detect compromised nodes by analyzing their movements, under different and complementary operative settings. We show that the proposed algorithms are effective in defeating a barrier attack, and both have guaranteed termination. We perform extensive simulations to study the performance of the two algorithms and compare them with the original approach. Results show that SecureVor and SSD have better robustness and flexibility and excellent coverage capabilities and deployment time, even in the presence of an attack.
机译:移动传感器网络是在安全关键场景中覆盖感兴趣区域(AoI)的最有前途的解决方案。移动设备可以根据分布式部署算法相互协调,而无需借助人工监督设备定位和网络配置。在本文中,我们重点研究基于Voronoi图的部署算法的漏洞,以协调移动传感器并指导其运动。我们对可能的攻击配置进行了几何表征,证明了由少量受损传感器组成的屏障的简单攻击会严重降低网络覆盖范围。基于上述特征,我们提出了两种新的安全部署算法,分别称为SecureVor和Secure Swap Deployment(SSD)。这些算法允许传感器通过分析受损节点在不同和互补的操作设置下的运动来检测它们。我们证明了所提出的算法在克服屏障攻击方面是有效的,并且都保证了终止。我们进行了广泛的仿真,以研究这两种算法的性能,并将它们与原始方法进行比较。结果表明,即使在遭受攻击的情况下,SecureVor和SSD也具有更好的鲁棒性和灵活性,以及​​出色的覆盖能力和部署时间。

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