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Volumn , Issue , 2014, Pages 797-801

An efficient flow-based botnet detection using supervised machine learning

Author keywords

Botnet; Botnet detection; Machine learning; Traffic analysis; Traffic classification

Indexed keywords

EXPERIMENTS; LEARNING ALGORITHMS; LEARNING SYSTEMS; SUPERVISED LEARNING; TELECOMMUNICATION TRAFFIC;

EID: 84899529303     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCNC.2014.6785439     Document Type: Conference Paper
Times cited : (106)

References (7)
  • 3
    • 84882753373 scopus 로고    scopus 로고
    • Botnet detection based on network behaviour
    • Ser. Advances in Information Security, W. Lee, C. Wang, and D. Dagon, Eds. Springer
    • W. T. Strayer, D. Lapsely, R. Walsh, and C. Livadas, "Botnet detection based on network behaviour," in Botnet Detection, ser. Advances in Information Security, W. Lee, C. Wang, and D. Dagon, Eds. Springer, 2008, vol. 36, pp. 1-24.
    • (2008) Botnet Detection , vol.36 , pp. 1-24
    • Strayer, W.T.1    Lapsely, D.2    Walsh, R.3    Livadas, C.4
  • 7
    • 84991833843 scopus 로고    scopus 로고
    • Third Edition (Morgan Kaufmann Series in Data Management Systems). San Francisco, CA, USA: Morgan Kaufmann Publishers Inc
    • I. H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (Morgan Kaufmann Series in Data Management Systems). San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 2011.
    • (2011) Data Mining: Practical Machine Learning Tools and Techniques
    • Witten, I.H.1    Frank, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.