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Volumn , Issue , 2008, Pages

Exploiting machine learning to subvert your spam filter

Author keywords

[No Author keywords available]

Indexed keywords

BOTNET; COMPUTER VIRUSES; LARGE SCALE SYSTEMS;

EID: 85084095941     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (390)

References (19)
  • 6
    • 0002294353 scopus 로고
    • Question 14: Combining independent tests of significance
    • Ronald A. Fisher. Question 14: Combining independent tests of significance. American Statistician, 2(5):30–30J, 1948.
    • (1948) American Statistician , vol.2 , Issue.5 , pp. 30-30J
    • Fisher, R.A.1
  • 7
    • 3242783893 scopus 로고    scopus 로고
    • August
    • Paul Graham. A plan for spam. http://www.paulgraham.com/spam.html, August 2002.
    • (2002) A Plan for Spam
    • Graham, P.1
  • 9
    • 0027640858 scopus 로고
    • Learning in the presence of malicious errors
    • Michael Kearns and Ming Li. Learning in the presence of malicious errors. SIAM Journal on Computing, 22(4):807–837, 1993.
    • (1993) SIAM Journal on Computing , vol.22 , Issue.4 , pp. 807-837
    • Kearns, M.1    Li, M.2
  • 10
    • 85084163246 scopus 로고    scopus 로고
    • Autograph: Toward automated, distributed worm signature detection
    • August
    • Hyang-Ah Kim and Brad Karp. Autograph: Toward automated, distributed worm signature detection. In USENIX Security Symposium, August 2004.
    • (2004) USENIX Security Symposium
    • Kim, H.-A.1    Karp, B.2
  • 17
    • 1542634595 scopus 로고    scopus 로고
    • A statistical approach to the spam problem
    • March
    • Gary Robinson. A statistical approach to the spam problem. Linux Journal, March 2003.
    • (2003) Linux Journal
    • Robinson, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.