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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51712


    Title: ONLINE INTRUSION BEHAVIORS: SEQUENCES AND TIME INTERVALS
    Authors: Chueh,HE;Ho,SC;Chang,SP;Hsu,PY
    Contributors: 企業管理學系
    Date: 2010
    Issue Date: 2012-03-27 19:03:24 (UTC+8)
    Publisher: 國立中央大學
    Abstract: In this study we model the sequences and time intervals of online intrusion behaviors. To maintain network security, intrusion detection systems monitor network environments; however, most existing intrusion detection systems produce too many intrusion alerts, causing network managers to investigate many potential intrusions individually to determine their validity. To solve this problem, we combined a clustering analysis of the time intervals of online users' behaviors with a sequential pattern analysis to identify genuine intrusion behaviors. Knowledge of the patterns generated by intruder behaviors can help network managers maintain network security.
    Relation: SOCIAL BEHAVIOR AND PERSONALITY
    Appears in Collections:[企業管理學系] 期刊論文

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