Abstract
The wireless sensor network (WSN) is the network of sensors which might be deployed in the surroundings for sensing any kind of physical phenomenon. Further sensed data is transmitted to base station (BS) in order to processes the data. During data processing, routed data security is most vital and is very challenging in WSN. The black hole is a most malicious attack, and it targets the routing protocols of sensors. This type of attack may have devastating impacts over hierarchical routing protocols. In this paper, anomaly-based hierarchical intrusion detection for black hole attack detection and prevention in WSN is presented. The black hole attack may happen if the intruder catches and reprogrammed a node set in a network for blocking the packets as opposed to transmitting them to the BS in WSN. Here, the active trust routing model concept is utilized for defining the black hole attacks in data packets routing. The results can demonstrate that, this presented system enhances the security with the prolonged life time of network and less energy utilization and high-efficiency throughput and packet delivery ratio (PDR) the life time of network.
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Kumar, V.N. et al. (2023). Anomaly-Based Hierarchical Intrusion Detection for Black Hole Attack Detection and Prevention in WSN. In: Reddy, K.A., Devi, B.R., George, B., Raju, K.S., Sellathurai, M. (eds) Proceedings of Fourth International Conference on Computer and Communication Technologies. Lecture Notes in Networks and Systems, vol 606. Springer, Singapore. https://doi.org/10.1007/978-981-19-8563-8_30
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DOI: https://doi.org/10.1007/978-981-19-8563-8_30
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