通过分组交换记录检测容错网络中的黑洞攻击

Yanzhi Ren, M. Chuah, J. Yang, Yingying Chen
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引用次数: 41

摘要

容忍中断网络(dtn)在提供关键任务服务(如应急网络或战场场景)方面特别有用。然而,ddn很容易受到内部攻击,在这种攻击中,合法节点被破坏,对手节点通过在网络中丢弃数据包发起黑洞攻击。传统的保护路由协议的方法无法解决DTNs中的这种内部攻击。在本文中,我们提出了一种方法来保护每个节点的数据包传递信息的历史记录,以便其他节点可以通过分析这些数据包传递记录来检测内部攻击。我们通过使用随机路径点和Zebranet移动模型进行广泛的模拟来评估我们的方法。结果表明,该方法能够有效地检测出内部攻击,检测率高,误报率低。
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Detecting blackhole attacks in Disruption-Tolerant Networks through packet exchange recording
The Disruption Tolerant Networks (DTNs) are especially useful in providing mission critical services such as in emergency networks or battlefield scenarios. However, DTNs are vulnerable to insider attacks, in which the legitimate nodes are compromised and the adversary nodes launch blackhole attacks by dropping packets in the networks. The traditional approaches of securing routing protocols can not address such insider attacks in DTNs. In this paper, we propose a method to secure the history records of packet delivery information at each contact so that other nodes can detect insider attacks by analyzing these packet delivery records. We evaluated our approach through extensive simulations using both Random Way Point and Zebranet mobility models. Our results show that our method can detect insider attacks efficiently with high detection rate and low false positive rate.
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