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A Novel Intrusion Detection System for Detecting Black Hole Attacks in Wireless Sensor Network using AODV Protocol

机译:一种使用AODV协议检测无线传感器网络中黑洞攻击的新型入侵检测系统

摘要

Wireless Sensor Networks (WSN) has wide application in data gathering and data transmission as per the user’s requirement and it consist of number of nodes. These nodes have limited battery power, limited resources and limited computational power .Due to all these factors, WSN faces more security threats. Security issues are a vital problem to be solved in Wireless Sensor networks (WSNs). Different types of intrusion detection systems (IDS) are developed to make WSN more secure. In this paper the proposed IDS are based on watchdog monitoring technique and are able to detect Black Hole attacks using AODV (Ad- Hoc On-Demand Distance Vector) Protocol. Besides, the betterment that makes watchdog monitoring technique more reliable are described and the results of simulations of the IDS on NS-2 simulator are presented.
机译:无线传感器网络(WSN)根据用户要求在数据收集和数据传输中具有广泛的应用,它由节点数组成。这些节点的电池电量,资源和计算能力有限。由于所有这些因素,WSN面临着更多的安全威胁。安全问题是无线传感器网络(WSN)中需要解决的重要问题。开发了不同类型的入侵检测系统(IDS)以使WSN更安全。在本文中,提出的IDS基于看门狗监视技术,并且能够使用AODV(按需点播距离矢量)协议检测黑洞攻击。此外,还介绍了使看门狗监控技术更加可靠的改进措施,并给出了在NS-2模拟器上进行IDS仿真的结果。

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