Principal Component Analysis of Botnet Takeover

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抄録

A botnet is a network of compromised computers infected with malware that is controlled remotely via public communications media. Many attempts at botnet detection have been made including heuristics analyses of traffic. In this study, we propose a new method for identifying independent botnets in the CCC Dataset 2009, the log of download servers observed by distributed honeypots, by applying the technique of Principal Component Analysis. Our main results include distinguishing four independent botnets when a year is divided into five phases.A botnet is a network of compromised computers infected with malware that is controlled remotely via public communications media. Many attempts at botnet detection have been made including heuristics analyses of traffic. In this study, we propose a new method for identifying independent botnets in the CCC Dataset 2009, the log of download servers observed by distributed honeypots, by applying the technique of Principal Component Analysis. Our main results include distinguishing four independent botnets when a year is divided into five phases.

A botnet is a network of compromised computers infected with malware that is controlled remotely via public communications media. Many attempts at botnet detection have been made including heuristics analyses of traffic. In this study, we propose a new method for identifying independent botnets in the CCC Dataset 2009, the log of download servers observed by distributed honeypots, by applying the technique of Principal Component Analysis. Our main results include distinguishing four independent botnets when a year is divided into five phases.

収録刊行物

  • Journal of Information Processing

    Journal of Information Processing 19, 463-472, 2011-09-07

    Information Processing Society of Japan

各種コード

  • NII論文ID(NAID)
    130000969032
  • NII書誌ID(NCID)
    AA00700121
  • 本文言語コード
    ENG
  • 資料種別
    Article
  • ISSN
    1882-6652
  • データ提供元
    J-STAGE  IPSJ 
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