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    請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/77797

    題名: 基於完全合格域名之邊緣網路封包分類器;FQDN-based Packet Classifier on Edge Networks
    作者: 黃啟澤;Huang, Qi-Ze
    貢獻者: 資訊工程學系
    關鍵詞: 即時封包分類器;完全合格域名;網域名稱系統;軟體路由器;機器學習;深度封包檢測;Real-time Packet Classifier;FQDN;DNS;Software Router;Machine Learning;Deep Packet Inspection
    日期: 2018-08-23
    上傳時間: 2018-08-31 14:56:43 (UTC+8)
    出版者: 國立中央大學
    摘要: 近年來,邊緣運算的概念逐漸萌芽,由於眾多的物聯網裝置接入廣域網路中,雖然單點裝置運算能力薄弱,但由於數量龐大,綜觀而言是一群不容小覷的邊緣網路運算節點。然而,由於愈來愈多種類的裝置和新的網路協定出現於廣域網路中,訊務分類的難度也愈來愈高,許多研究嘗試使用深度封包檢測、機器學習或網域名稱(DNS)萃取的方式,多數對於內容加密封包之分類效果有限,且無法直接實際部署於真實網路環境中。
      本論文也使用了軟體路由器,將FIPAC機制部署在邊緣網路中,和市售邊緣網路路由器以及其他種分類器作比較,以實際驗證FIPAC機制的效能和部署的靈活性。;In recent years, the concept of edge computing comes up. Due to the access of many IoT devices to wide-area networks, although the computing power of single node is weak, it offers great possibility when they are grouped. However, as more and more devices and new network protocols appear in the WAN, traffic classification becomes more and more difficult. Many researches attempt to use deep packet inspection, machine learning or domain name system (DNS), which are insufficient for encrypted packages and cannot be directly deployed in real network environments.
    The FIPAC packet classification mechanism proposed in this paper are intentionally deployed on edge networks for the reason that more fully qualified domain names (FQDNs) are obtained more easily in comparison to core networks. Then, the FQDN can be classified with effective labels fetched from Wikipedia entries and autonomous system number. This is how FIPAC achieves automatic classification and fast inference. Compared with other classifiers, the FIPAC mechanism is more user-friendly and efficient, also, requires less computing resources and respects users’ privacy. With FIPAC, network operators do not need to worry about exhausted computing resources taken by packet classifiers. They can focus on the utilization of classification results, such as QoS control on distinct applications.
    In this paper, we deploy FIPAC on software router on real edge networks. Compared with commercially available embedded edge routers and other types of classifiers, we verify that FIPAC takes advantages in performance and flexibility.
    顯示於類別:[資訊工程研究所] 博碩士論文


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