A Novel Ensemble Framework for an Intelligent Intrusion Detection System

• Published in: IEEE access Vol. 9; pp. 138451 - 138467
• Main Authors: Seth, Sugandh, Chahal, Kuljit Kaur, Singh, Gurvinder
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Categories; CIC IDS 2018; Classification; Classification algorithms; Classifiers; Computer crime; cybersecurity; Deep learning; ensemble learning; Feature extraction; Intrusion detection; intrusion detection framework; Intrusion detection system; Intrusion detection systems; machine learning; Machine learning algorithms; Random forests; Software; Voting

Background: Building an effective Intrusion detection system in a multi-attack classification environment is challenging due to the diversity of modern, sophisticated attacks. High-performance classification methods are needed for Intrusion Detection Systems as attackers can establish intrusive meth...