Detecting phishing emails using hybrid features

UIC-ATC 2009 - Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing in Conjunction with the UIC'09 and ATC'09 Conferences

Volumn , Issue , 2009, Pages 493-497

  Ma, Liping ^a   Ofoghi, Bahadorrezda ^a   Watters, Paul ^a   Brown, Simon ^a  

^a Graduate School of Information Technology and Mathematical Sciences   (Australia)

Author keywords

Feature elimination; Feature selection; Information security; Text classification

Indexed keywords

ANTI-PHISHING; CROSS-VALIDATIONS; DETECTION DEVICE; E-MAIL SERVERS; EMAIL DETECTION; FEATURE SELECTION; FEATURE SETS; FINANCIAL ORGANIZATIONS; HYBRID FEATURES; INFORMATION GAIN; INFORMATION SECURITY; MACHINE LEARNING ALGORITHMS; PHISHING; RECURSIVE LEARNING; TEXT CLASSIFICATION;

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; DECISION TREES; ELECTRONIC MAIL; EXPERIMENTS; INFORMATION USE; LEARNING SYSTEMS; NETWORK SECURITY; TECHNICAL PRESENTATIONS; TEXT PROCESSING; UBIQUITOUS COMPUTING;

LEARNING ALGORITHMS;

EID: 72849117349     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/UIC-ATC.2009.103     Document Type: Conference Paper

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