Decision tree based light weight intrusion detection using a wrapper approach

Expert Systems with Applications

Volumn 39, Issue 1, 2012, Pages 129-141

  Sivatha Sindhu, Siva S ^a   Geetha, S ^b   Kannan, A ^a  

^a ANNA UNIVERSITY   (India)

^b THIAGARAJAR COLLEGE OF ENGINEERING   (India)

Author keywords

Decision tree; Genetic algorithm; Intrusion Detection System; Misuse detection; Neural network; Neurotree

Indexed keywords

DECISION STUMPS; DECISION TREE CLASSIFIERS; DETECTION ACCURACY; EFFICIENT LEARNING; EXPERIMENTAL EVALUATION; INTRUSION DETECTION SYSTEM; INTRUSION DETECTION SYSTEMS; ITERATIVE PROCEDURES; LIGHT WEIGHT; MISUSE DETECTION; NETWORK DATA; NETWORK PATTERN; NEURAL ENSEMBLES; NEUROTREE; RANDOM FORESTS; RANDOM TREE; TREE MODELS; WRAPPER APPROACH; WRAPPER-BASED FEATURE SELECTION;

COMPUTER CRIME; DECISION TREES; FEATURE EXTRACTION; FORESTRY; GENETIC ALGORITHMS; LEARNING ALGORITHMS; NEURAL NETWORKS;

INTRUSION DETECTION;

ALGORITHMS; COMPUTATION; DECISION MAKING; NEURAL NETWORKS;

EID: 81855221688     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.06.013     Document Type: Article

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