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Volumn , Issue , 2011, Pages 221-224

A novel Phishing classification based on URL features

Author keywords

classification; Phishing; URL

Indexed keywords

ANTI-PHISHING WORKING GROUPS; CLASSIFICATION; CLASSIFICATION FEATURES; ELECTRONIC COMMUNICATIONS; PHISHING; PHISHING ATTACKS; PHISHING DETECTIONS; SOCIAL ENGINEERING; URL;

EID: 79958010910     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEEEGCC.2011.5752505     Document Type: Conference Paper
Times cited : (33)

References (6)
  • 3
    • 51249089888 scopus 로고    scopus 로고
    • B-apt: Bayesian anti-phishing toolbar
    • ICC '08. IEEE International Conference on May
    • Peter Likarish, Don Dunbar, and Thomas E. Hansen, "B-apt: Bayesian anti-phishing toolbar," Communications, 2008. ICC '08. IEEE International Conference on, pp. 1745-1749, May 2008.
    • (2008) Communications, 2008 , pp. 1745-1749
    • Likarish, P.1    Dunbar, D.2    Hansen, T.E.3
  • 5
    • 33745867321 scopus 로고    scopus 로고
    • Do security toolbars actually prevent phishing attacks?
    • CHI 2006: Conference on Human Factors in Computing Systems, Conference Proceedings SIGCHI
    • Min Wu, Robert C. Miller, and Simson L. Garfinkel, "Do security toolbars actually prevent phishing attacks?," in CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems, New York, NY, USA, 2006, pp. 601-610, ACM. (Pubitemid 44032148)
    • (2006) Conference on Human Factors in Computing Systems - Proceedings , vol.1 , pp. 601-610
    • Wu, M.1    Miller, R.C.2    Garfinkel, S.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.