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Volumn , Issue , 2011, Pages 916-921

Phishing email feature selection approach

Author keywords

Behavior based; Feature Selection; Internet Security; Phishing

Indexed keywords

ACCURACY RATE; BEHAVIOR-BASED; COMPUTER USERS; CONTENT-BASED; FINANCIAL LOSS; GAIN RATIO; HYBRID FEATURES; INFORMATION GAIN; INTERNET SECURITY; PHISHING;

EID: 84856141862     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TrustCom.2011.126     Document Type: Conference Paper
Times cited : (28)

References (20)
  • 2
    • 84856155660 scopus 로고    scopus 로고
    • Available
    • The Anti-Phishing work Group. Available: http://www.apwg.org/
  • 15
    • 80053654928 scopus 로고    scopus 로고
    • Available
    • Nazario, J. Phishing Corpus. Available: http://www.monkey.org/jose/wiki/ doku.php?id=phishingcorpus.
    • Phishing Corpus
    • Nazario, J.1
  • 18
    • 84880404548 scopus 로고    scopus 로고
    • Available
    • Spamassassin public corpus. Available: http://spamassassin.apache.org/ publiccorpus.
    • Spamassassin Public Corpus
  • 19
    • 67650695614 scopus 로고    scopus 로고
    • E-Mail Classification for Phishing Defense
    • W. N. Gansterer, D. Polz.: E-Mail Classification for Phishing Defense, in LNCS Advances (2009)
    • (2009) LNCS Advances
    • Gansterer, W.N.1    Polz, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.