A fault localized scheme for false report filtering in sensor networks

Li Zhou, C. Ravishankar
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引用次数: 41

Abstract

Sensor networks frequently deploy many tiny and inexpensive devices over large regions to detect events of interest. It can be easy to compromise sensors, enabling attackers to use the keys and other information stored at the sensors to inject false reports, forging fake events. Existing approaches do not localize the impact of such node compromises, so that compromises in one sensing region may compromise other parts of the system. In this paper, we propose two fault localized schemes for false report filtering. In our basic scheme, sensors signal events using one-way hash chains, which allows en-route nodes to verify the authenticity of received reports based on commitments of detecting sensors, but prevents them from forging events. We extend this basic scheme to a collaborative filtering scheme using commitment predistribution, making it more adaptable for mobile sensor networks and high-density sensor networks. Our scheme can also provide localized protection for areas that require special protection. Our security analysis shows that our schemes can offer stronger security protection than existing schemes, and are efficient.
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传感器网络误报过滤的故障定位方案
传感器网络经常在大范围内部署许多微小而廉价的设备来检测感兴趣的事件。传感器很容易被攻破,攻击者可以利用存储在传感器上的密钥和其他信息注入虚假报告,伪造虚假事件。现有的方法没有将这种节点妥协的影响局部化,因此一个感知区域的妥协可能会损害系统的其他部分。本文提出了两种误报过滤的故障定位方案。在我们的基本方案中,传感器使用单向散列链发送事件信号,这允许途中节点根据检测传感器的承诺来验证接收到的报告的真实性,但防止它们伪造事件。我们将此基本方案扩展为使用承诺预分配的协同过滤方案,使其更适合移动传感器网络和高密度传感器网络。我们的方案还可以为需要特殊保护的区域提供局部保护。我们的安全性分析表明,我们的方案可以提供比现有方案更强的安全保护,并且是有效的。
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