Network Intrusion Detection Using Multiclass Support Vector Machine
Arvind Mewada, Prafful Gedam, Shamaila Khan, M. Udayapal Reddy · International Journal of Computer and Communication Technology · 2010
Intrusion detection is a topic of interest in current scenario. Statistical IDS overcomes many pitfalls present in signature based IDS. Statistical IDS uses models such as NB, C4.5 etc for classification to detect Intrusions. Multiclass Support Vector Machine is able to perform multiclass classification. This paper shows the performance of MSVM (1-versus-1, 1-versusmany and Error Correcting Output Coding (ECOC)) and it’s variants for statistical NBIDS. This paper explores the performance of MSVM for various categories of attacks.