A Performance Comparison of Machine Learning Approaches on Intrusion Detection Dataset
Vaddeboyina Sri Manvith, R. Vijaya Saraswathi, R Vasavi
20212021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)20 citationsDOI
Abstract
The network is a prominent aspect of communication. The network facilitates devices to exchange information between individuals and led to massive growth in the networking field. In this context, the security of information has become a great challenge. The 3 basic factors of security are Confidentiality, Integrity, and Availability. Intrusion detection is an essential component of security but the performance of IDS is not satisfactory and hence an efficient approach is necessary to obviate concerns on performance. Machine Learning approaches are very helpful in this regard.
Topics & Concepts
Computer scienceIntrusion detection systemConfidentialityContext (archaeology)Field (mathematics)Network securityComputer securityInformation securityComponent (thermodynamics)IntrusionInformation exchangeTelecommunicationsGeochemistryPaleontologyBiologyMathematicsGeologyThermodynamicsPhysicsPure mathematicsNetwork Security and Intrusion DetectionAdvanced Malware Detection TechniquesInternet Traffic Analysis and Secure E-voting