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Volumn , Issue , 2012, Pages 129-138

Disclosure: Detecting botnet command and control servers through large-scale NetFlow analysis

Author keywords

[No Author keywords available]

Indexed keywords

BOTNETS; CLIENT ACCESS PATTERNS; COMMAND AND CONTROL; DATA SETS; DETECTION SYSTEM; FALSE POSITIVE RATES; FLOW SIZES; LARGE-SCALE NETFLOW ANALYSIS; NETFLOW DATA; NETFLOWS; NETWORK DATA; NOVEL TECHNIQUES; PRIMARY FACTORS; REAL-TIME DETECTION; REAL-WORLD NETWORKS; REALTIME PROCESSING; TEMPORAL BEHAVIOR; WIDE AREA;

EID: 84872102390     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2420950.2420969     Document Type: Conference Paper
Times cited : (247)

References (35)
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  • 17
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    • BotMiner: Clustering analysis of network traffic for protocol- and structure-independent botnet detection
    • G. Gu, R. Perdisci, J. Zhang, and W. Lee. BotMiner: Clustering Analysis of Network Traffic for Protocol- and Structure-Independent Botnet Detection. In Usenix Security Symposium, 2008.
    • (2008) Usenix Security Symposium
    • Gu, G.1    Perdisci, R.2    Zhang, J.3    Lee, W.4
  • 22
  • 23
    • 0345040873 scopus 로고    scopus 로고
    • Classification and regression by randomforest
    • A. Liaw and M. Wiener. Classification and regression by randomforest. In R News, volume 2/3, page 18, 2002.
    • (2002) R News , vol.2-3 , pp. 18
    • Liaw, A.1    Wiener, M.2
  • 29
    • 84655175860 scopus 로고    scopus 로고
    • Traffic aggregation for malware detection
    • M. Reiter and T. Yen. Traffic aggregation for malware detection. In DIMVA, 2008.
    • (2008) DIMVA
    • Reiter, M.1    Yen, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.