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Volumn , Issue , 2008, Pages 156-161

Unknown malcode detection via text categorization and the imbalance problem

Author keywords

Classification algorithms; Malicious code detection

Indexed keywords

CODES (STANDARDS); INTERSYMBOL INTERFERENCE; ONLINE SEARCHING; TESTING; TEXT PROCESSING; VIDEO STREAMING;

EID: 51849107341     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISI.2008.4565046     Document Type: Conference Paper
Times cited : (90)

References (15)
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    • Abou-Assaleh, T, Cercone, N, Keselj, V, and Sweidan, R, 2004) N-gram Based Detection of New Malicious Code, in Proceedings of the 28th Annual International Computer Software and Applications Conference COMPSAC'04
    • Abou-Assaleh, T., Cercone, N., Keselj, V., and Sweidan, R. (2004) N-gram Based Detection of New Malicious Code, in Proceedings of the 28th Annual International Computer Software and Applications Conference (COMPSAC'04).
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    • Golub, T., Slonim, D., Tamaya, P., Huard, C., Gaasenbeek, M., Mesirov, J., Coller, H., Loh, M., Downing, J., Caligiuri, M., Bloomfield, C., and E. Lander, E. (1999) Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring, Science, 286:531-537
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    • (1997) Machine Learning , vol.29 , pp. 103-130
    • Domingos, P.1    Pazzani, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.