A novel feature-selection approach based on the cuttlefish optimization algorithm for intrusion detection systems

Expert Systems with Applications

Volumn 42, Issue 5, 2015, Pages 2670-2679

  Eesa, Adel Sabry ^a   Orman, Zeynep ^b   Brifcani, Adnan Mohsin Abdulazeez ^c  

^a UNIVERSITY OF ZAKHO   (Iraq)

^b ISTANBUL UNIVERSITY   (Turkey)

^c DUHOK POLYTECHNIC UNIVERSITY   (Iraq)

Author keywords

Cuttlefish algorithm; Decision trees; Feature selection; ID3 algorithm; Intrusion detection systems

Indexed keywords

ALGORITHMS; COMPUTER CRIME; DATA MINING; DECISION TREES; FEATURE EXTRACTION; MOLLUSCS; OPTIMIZATION; SHELLFISH; TREES (MATHEMATICS);

DETECTION RATES; FALSE ALARM RATE; FEATURE SUBSET; ID3 ALGORITHM; INTRUSION DETECTION SYSTEMS; OPTIMAL SUBSETS; OPTIMIZATION ALGORITHMS; SEARCH STRATEGIES;

INTRUSION DETECTION;

EID: 84919327055     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2014.11.009     Document Type: Article

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