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Network intrusion detection: a comparative study of four classifiers using the NSL-KDD and KDD’99 datasets

Published in Journal of Physics: Conference Series

As most of the population acquires access to the internet, protecting online identity from threats of confidentiality, integrity, and accessibility becomes an increasingly important problem to tackle. By definition, a network intrusion detection system (IDS) helps pinpoint and identify anomalous network traffic to bring forward and classify suspici...

An Improvised k-NN Respecting Diversity of Data for Network Intrusion Detection

Network Intrusion Detection is a complex classification problem aimed at discriminating the legitimate from illegitimate and potentially harmful network connections over the communication network. What adds to the complexity of the problem is the near real-time response to a threat, imbalanced datasets to deal with and finally the data being mixed ...