An intrusion detection system using network traffic profiling and online sequential extreme learning machine

Expert Systems with Applications

Volumn 42, Issue 22, 2015, Pages 8609-8624

  Singh, Raman ^a   Kumar, Harish ^a   Singla, R K ^b  

^a PANJAB UNIVERSITY   (India)

^b PANJAB UNIVERSITY   (India)

Author keywords

Feature selection technique; Intrusion detection system; Network traffic dataset; Network traffic profiling; Online sequential extreme learning machine (OS ELM)

Indexed keywords

COMPLEX NETWORKS; COMPUTER CRIME; DATA MINING; E-LEARNING; FEATURE EXTRACTION; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; MERCURY (METAL); NETWORK SECURITY; SOCIAL NETWORKING (ONLINE); STATISTICAL TESTS;

ANOMALY BASED INTRUSION DETECTION SYSTEMS; INTRUSION DETECTION SYSTEMS; LARGE AMOUNTS OF DATA; NETWORK INTRUSION DETECTION; NETWORK TRAFFIC; ONLINE SEQUENTIAL EXTREME LEARNING MACHINE; SELECTION TECHNIQUES; TIME AND SPACE COMPLEXITY;

INTRUSION DETECTION;

EID: 84940460812     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2015.07.015     Document Type: Article

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