Abstract
WSN is made up of nodes that communicate with one another with the help of a wireless channel. These days the WSN is used to communicate among two or more nodes that are linked in a network. So there should be a good security protocol to hold the confidentiality of the data which is transferred in between the source and the sink. In this proposed work, a method to detect and prevent blackhole attack using hidden Markov model (HMM) is used to identify malicious nodes. This work is implemented using simulation and result shows that malicious nodes are getting detected. After detection on malicious nodes, communication from malicious nodes are stopped and packet is getting rerouted with reliable and secure link.
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Anand, S., Muhammad Rafeeque, K. (2022). Enhancing the Security in Wireless Sensor Network Using Hidden Markov Model. In: Ranganathan, G., Fernando, X., Shi, F., El Allioui, Y. (eds) Soft Computing for Security Applications . Advances in Intelligent Systems and Computing, vol 1397. Springer, Singapore. https://doi.org/10.1007/978-981-16-5301-8_31
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DOI: https://doi.org/10.1007/978-981-16-5301-8_31
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