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Volumn , Issue , 2011, Pages 618-621

Efficient malicious code detection using N-gram analysis and SVM

Author keywords

Malicious code detection; N gram; SVM

Indexed keywords

CROSS-SITE SCRIPTING; DOCUMENT CLASSIFICATION; ILLEGAL ACTS; MACHINE-LEARNING; MALICIOUS CODE DETECTION; MALICIOUS CODES; N-GRAM; SQL INJECTION; SVM; WEB BASED;

EID: 80455144849     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NBiS.2011.104     Document Type: Conference Paper
Times cited : (60)

References (10)
  • 8
    • 33845768389 scopus 로고    scopus 로고
    • Learning to detect and classify malicious executables in the wild
    • Kolter, J., Maloof, M., "Learning to Detect and Classify Malicious Executables in the Wild.", Journal of Machine Learning Research 7, 2006.
    • (2006) Journal of Machine Learning Research , vol.7
    • Kolter, J.1    Maloof, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.