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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/113730


    Title: 基於多樣資訊發展之入侵偵測系統
    Authors: 林佳憲
    蔡敦仁
    Keywords: 網路異常偵測;網路蠕蟲
    Knowledge-based Traffic Statistics Signature-based Intrusion Detection System
    Date: 2005
    Issue Date: 2017-10-17 17:03:46 (UTC+8)
    Abstract: 目前的入侵偵測系統(Intrusion Detection System)發展都較偏向特徵型(Signature-based)的入侵偵測系統，特徵型的入侵偵測系統利用特徵比對的方式，當流量收集進入入侵偵測系統之後，透過特徵資料庫比對後，來確定流量是否為惡意的攻擊入侵的流量，還是正常的流量。
    本研究透過以流量統計資訊、異質入侵偵測系統事件資訊與系統環境弱點知識庫，發展出一套基於多樣資訊之入侵偵測系統，並建立入侵偵測事件的分析機制，以提高偵測準確度與降低誤判率，並應用於實際的網路環境中收集網路存取資訊，期望能夠偵測出真正威脅網路的異常連線模式，並減輕對管理者的負擔。
    Relation: TANET 2005 台灣網際網路研討會論文集
    資訊安全技術
    Data Type: conference
    Appears in Collections:[TANET 台灣網際網路研討會] 會議論文

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