An evaluation of machine learning-based methods for detection of phishing sites

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5506 LNCS, Issue PART 1, 2009, Pages 539-546

  Miyamoto, Daisuke ^a   Hazeyama, Hiroaki ^a   Kadobayashi, Youki ^a  

^a NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ADABOOST; ADDITIVE REGRESSION; AREA UNDER THE ROC CURVE; BAYESIAN; CLASSIFICATION AND REGRESSION TREE; DATA SETS; DETECTION METHODS; ERROR RATE; LOGISTIC REGRESSIONS; MACHINE LEARNING TECHNIQUES; MACHINE-LEARNING; NAIVE BAYES; PERFORMANCE METRICS; PHISHING; RANDOM FORESTS;

ADAPTIVE BOOSTING; BAYESIAN NETWORKS; DATA PROCESSING; EDUCATION; REGRESSION ANALYSIS; ROBOT LEARNING;

ERROR DETECTION;

EID: 70349133496     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02490-0_66     Document Type: Conference Paper

References (15)

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