A survey on anomaly detection in network intrusion detection system using particle swarm optimization based machine learning techniques

Advances in Intelligent Systems and Computing

Volumn 199 AISC, Issue , 2013, Pages 441-452

  Satpute, Khushboo ^a   Agrawal, Shikha ^b   Agrawal, Jitendra ^a   Sharma, Sanjeev ^a  

^a Rajiv Gandhi Proudyogiki Vishwavidyalaya   (India)

^b University Institute of Technology   (India)

Author keywords

Anomaly Detection; Intrusion Detection; Machine Learning; Particle Swarm Optimization; Supervised Learning

Indexed keywords

COMPUTER CRIME; INTELLIGENT COMPUTING; LEARNING SYSTEMS; PARTICLE SWARM OPTIMIZATION (PSO); SUPERVISED LEARNING; WEBSITES;

ANOMALY DETECTION; ANTI VIRUS; AUTHENTICATION MECHANISMS; GROWING DEMAND; INTELLIGENT INTRUSION DETECTION SYSTEMS; INTRUSION DETECTION SYSTEMS; MACHINE LEARNING TECHNIQUES; NETWORK INTRUSION DETECTION SYSTEMS; OR-NETWORKS; PREVENTION SYSTEMS; REAL TIME; RESEARCH COMMUNITIES; ROUGH SET; SECURE SYSTEM; SECURITY TECHNOLOGY; SOCIAL ENGINEERING; SPY-WARE;

INTRUSION DETECTION;

EID: 84872248901     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-35314-7_50     Document Type: Conference Paper

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