A hybrid network intrusion detection system using simplified swarm optimization (SSO)

Applied Soft Computing Journal

Volumn 12, Issue 9, 2012, Pages 3014-3022

  Chung, Yuk Ying ^a   Wahid, Noorhaniza ^b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b UNIVERSITI TUN HUSSEIN ONN MALAYSIA   (Malaysia)

Author keywords

Classification; Data mining; Local search; Network intrusion detection; Particle swarm optimization

Indexed keywords

CLASSIFICATION ACCURACY; DATA ENCRYPTION; DATA SETS; HYBRID INTRUSION DETECTION; HYBRID NETWORK; INTRUSION DATA; INTRUSION DETECTION SYSTEMS; LOCAL SEARCH; LOCAL SEARCH STRATEGY; MALICIOUS BEHAVIOR; MALWARES; NETWORK INTRUSION DETECTION; NETWORK INTRUSIONS; NETWORK TRAFFIC; NETWORKS AND SYSTEMS; ROUGH SET; SIMPLIFIED SWARM OPTIMIZATIONS (SSO); TESTING RESULTS; USER AUTHENTICATION;

AUTHENTICATION; BENCHMARKING; CLASSIFICATION (OF INFORMATION); COMPUTER CRIME; DATA MINING; HYBRID SYSTEMS; INTRUSION DETECTION; PARTICLE SWARM OPTIMIZATION (PSO); WEBSITES;

COMPUTER SYSTEM FIREWALLS;

EID: 84863478979     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.04.020     Document Type: Article

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