Abstract
Mobile adhoc network (MANET) is a self-configuring agglomeration of wireless nodes with dynamically changing network topology that formed without using any preinstalled infrastructure or any central administrator. Intrusion detection is the security system that is used to automatically detect the problem when someone trying to break information system through violation of security policy. Alone intrusion prevention method is not sufficient because in MANET, network topology is continuously changing, so intrusion detection technique is used. This paper is based upon the intrusion detection in MANET based upon the different parameters of mobile nodes (MNs). Based upon some threshold values of parameters, ACO algorithm is used to detect the intrusion present in the network. And after that, genetic algorithm is used to recover the network.
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Singh, K., Singh, K. (2018). Intrusion Detection and Recovery of MANET by Using ACO Algorithm and Genetic Algorithm. In: Lobiyal, D., Mansotra, V., Singh, U. (eds) Next-Generation Networks. Advances in Intelligent Systems and Computing, vol 638. Springer, Singapore. https://doi.org/10.1007/978-981-10-6005-2_11
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DOI: https://doi.org/10.1007/978-981-10-6005-2_11
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