Department of Computer Engineering, Ajou University, Suwon 16499, Korea.
Sensors (Basel). 2020 Feb 18;20(4):1108. doi: 10.3390/s20041108.
In tactical wireless sensor networks, tactical sensors are increasingly expected to be exploited for information collection in battlefields or dangerous areas on behalf of soldiers. The main function of these networks is to use sensors to measure radiation, nuclear, and biochemical values for the safety of allies and also to monitor and carry out reconnaissance of enemies. These tactical sensors require a network traffic flow that sends various types of measured information to the gateway, which needs high reliability. To ensure reliability, it must be able to detect malicious nodes that perform packet-dropping attacks to disrupt the network traffic flow, and energy-constrained sensors require energy-efficient methods to detect them. Therefore, in this paper, we propose a stepwise and hybrid trust evaluation scheme for locating malicious nodes that perform packet-dropping attacks in a tree-based network. Sensors send a query to the gateway by observing the traffic patterns of their child nodes. Moreover, depending on the situation, the gateway detects malicious nodes by choosing between gateway-assisted trust evaluation and gateway-independent trust evaluation. We implemented and evaluated the proposed scheme with the OPNET simulator, and the results showed that a higher packet delivery ratio can be achieved with significantly lower energy consumption.
在战术无线传感器网络中，战术传感器越来越多地被期望代表士兵在战场上或危险区域进行信息收集。这些网络的主要功能是利用传感器测量辐射、核和生化值，以确保盟友的安全，同时监测和对敌人进行侦察。这些战术传感器需要一种网络流量，将各种类型的测量信息发送到网关，这需要高可靠性。为了确保可靠性，它必须能够检测到执行丢包攻击的恶意节点，以破坏网络流量，而能量受限的传感器需要节能的方法来检测它们。因此，在本文中，我们提出了一种基于树状网络的逐步式混合信任评估方案，用于定位执行丢包攻击的恶意节点。传感器通过观察其子节点的流量模式向网关发送查询。此外，根据情况，网关通过选择网关辅助信任评估和网关独立信任评估来检测恶意节点。我们使用 OPNET 模拟器实现和评估了所提出的方案，结果表明，在显著降低能耗的同时，可以实现更高的分组投递率。
