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Volumn , Issue , 2014, Pages 1759-1768

Knock it off: Profiling the online storefronts of counterfeit merchandise

Author keywords

email spam; web page classification

Indexed keywords


EID: 84907029448     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2623330.2623354     Document Type: Conference Paper
Times cited : (21)

References (21)
  • 8
    • 79952527132 scopus 로고    scopus 로고
    • Automatically determining phishing campaigns using the uscap methodology
    • Oct
    • R. Layton, P. Watters, and R. Dazeley. Automatically determining phishing campaigns using the uscap methodology. In eCrime Researchers Summit (eCrime), 2010, pages 1-8, Oct 2010.
    • (2010) ECrime Researchers Summit (eCrime) , vol.2010 , pp. 1-8
    • Layton, R.1    Watters, P.2    Dazeley, R.3
  • 11
    • 60349123688 scopus 로고    scopus 로고
    • Detection of cloaked web spam by using tag-based methods
    • May
    • J.-L. Lin. Detection of cloaked web spam by using tag-based methods. Expert Syst. Appl., 36(4):7493-7499, May 2009.
    • (2009) Expert Syst. Appl. , vol.36 , Issue.4 , pp. 7493-7499
    • Lin, J.-L.1
  • 19
    • 40949104348 scopus 로고    scopus 로고
    • Tracking Web Spam with HTML Style Similarities
    • Mar.
    • T. Urvoy, E. Chauveau, P. Filoche, and T. Lavergne. Tracking Web Spam with HTML Style Similarities. ACM Trans. Web, 2(1):3:1-3:28, Mar. 2008.
    • (2008) ACM Trans. Web , vol.2 , Issue.1
    • Urvoy, T.1    Chauveau, E.2    Filoche, P.3    Lavergne, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.