Abstract
The mobile ad hoc networks (MANETs) had move towards the wireless networking technology. Due to its dynamic nature MANETs face the challenges towards critical attacks in OSI layers but research shows that in network layer the attacks are effectively done by intruders. In this survey, many of the attacks at network layer are identified in MANETs by most of the researchers which are outlined in this paper. Mostly, AODV routing protocols and other protocols are used for transferring packets to the destination. The communicated packets information is accumulated in the log files, to surveillance these routing of packets from these log files, the techniques used in MANETs are data mining, support vector machines (SVM), genetic algorithms (GA) and other machine-learning approaches. Further, the methodologies and techniques proposed for detecting and predicting these attacks from various kinds of intrusions within the MANETS are discussed.
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Hussain, M.S., Khan, K.U.R. (2020). A Survey of IDS Techniques in MANETs Using Machine-Learning. In: Raju, K., Govardhan, A., Rani, B., Sridevi, R., Murty, M. (eds) Proceedings of the Third International Conference on Computational Intelligence and Informatics . Advances in Intelligent Systems and Computing, vol 1090. Springer, Singapore. https://doi.org/10.1007/978-981-15-1480-7_68
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