Abstract
Wireless Sensor Networks are most widely used in networking because of their large application domain. These networks due to their nature and appealing features, like multihop wireless communication, deployment in a hostile unprotected environment, low installation cost, auto-configurable etc, are very prone to security. Sensors are small devices deployed in the unprotected region and are vulnerable to attacks. To collect information from the surroundings sensor node senses information and follows multi-hop communication and the data reaches to sink. In these networks, there is no monitoring of information flow, hence security is a big concern. To provide security in Wireless Sensor Network operations, all kinds of intrusions should be detected and appropriate action must be taken against them in order to ensure that there is no harm done to the sensor network. This paper presents a review of Intrusion Detection Systems in Wireless Sensor Networks. Out of several detection techniques, this paper focuses on signature-based, anomaly-based and hybrid-based techniques. Various detection models are examined based on certain parameters. This paper summarizes various Intrusion Detection algorithms with their features which are used in Wireless Sensor Networks.
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Agarwal, A., Kaushal, N.C. (2020). A Study of Intrusion Detection System in Wireless Sensor Network. In: Nain, N., Vipparthi, S. (eds) 4th International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2019. ICIoTCT 2019. Advances in Intelligent Systems and Computing, vol 1122. Springer, Cham. https://doi.org/10.1007/978-3-030-39875-0_36
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