A New Machine Learning-based Hybrid Intrusion Detection System and Intelligent Routing Algorithm for MPLS Network

• Main Authors: Ridwan M.A., Radzi N.A.M., Azmi K.H.M., Abdullah F., Ahmad W.S.H.M.W.
• Other Authors: 57193648099
• Format: Article
• Published: Science and Information Organization 2024
• Subjects: communication system; intrusion detection system; Machine learning; quality of service; routing algorithm; Classification (of information); Complex networks; Computer crime; Intrusion detection; Learning algorithms; MATLAB; Network security; Regression analysis; Routing algorithms; Communications systems; Hybrid intrusion detection; Intelligent routing algorithm; Intrusion Detection Systems; Machine-learning; Multi-protocol label-switching network; Performances evaluation; Quality-of-service; Routing information protocols; Service requirements; Quality of service
• Institution: Universiti Tenaga Nasional

Machine Learning (ML) is seen as a promising application that offers autonomous learning and provides optimized solutions to complex problems. The current Multiprotocol Label Switching (MPLS)-based communication system is packed with exponentially increasing applications and different Quality-of-Ser...