A novel classification model for data theft detection using advanced pattern mining

Digital Investigation

Volumn 10, Issue 4, 2013, Pages 385-397

  Patel, Pratik C ^a   Singh, Upasna ^a  

^a DEFENCE INSTITUTE OF ADVANCED TECHNOLOGY   (India)

Author keywords

Adaptive network based fuzzy inference system; Artificial neural networks; Classification regression trees; Classification model; Data theft; Digital forensics

Indexed keywords

COMPUTER CRIME; CRIME; DATA MINING; DEEP NEURAL NETWORKS; DIGITAL FORENSICS; ELECTRONIC CRIME COUNTERMEASURES; FILTRATION; FORESTRY; FUZZY INFERENCE; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; INFERENCE ENGINES; INTELLIGENT CONTROL; NEURAL NETWORKS; PATTERN RECOGNITION; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TREES (MATHEMATICS);

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; ANTIVIRUS SOFTWARES; CLASSIFICATION MODELS; DATA THEFTS; FALSE POSITIVE; PATTERN MINING; PATTERN MINING ALGORITHMS; REGRESSION TREES;

CLASSIFICATION (OF INFORMATION);

CLASSIFICATION; DATA PROCESSING; FORENSICS; FORESTRY; FUZZY LOGIC; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS;

EID: 84889085212     PISSN: 17422876     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.diin.2013.09.002     Document Type: Article

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