Abstract:
Network intrusion detection is a dynamic and important research area. It is the process of identifying malicious activity in a network by analyzing the network traffic. Data mining techniques are widely used in Intrusion Detection System (IDS) to detect anomalies. Dimensionality reduction plays a vital role in IDS, since detecting anomalies from high dimensional network traffic is time consuming process.
Reference this Research Paper (copy & paste below code):
V.Manikandan, S.Karthikeyan, Ms.T.Bhuvaneswari
(2020); Hybrid Feature Selection for Network Intrusion Detection Using Data Mining; International Journal of Scientific and Research Publications (IJSRP)
10(05) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.10.05.2020.p101110