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Revisiting Recent and Current Anomaly Detection based on Machine Learning in Ad-Hoc Networks
2019
Journal of Physics, Conference Series
Ad-Hoc network which is one kind of self-organized networks is much more vulnerable than the infrastructural network with the properties of highly changeable linkage, dynamic structure, and wireless connections so that the tradition intrusion detection system (IDS) should be improved to adapt in such network with limited computing resources and open channels. To ensure the security in Ad-Hoc network, the efficient anomaly detection methods should be probed. Over the past years, many studies
doi:10.1088/1742-6596/1288/1/012075
fatcat:bu542t356nacxltjwnc5l2vhnu