中大機構典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/65772
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 78728/78728 (100%)
Visitors : 34349746      Online Users : 727
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/65772


    Title: A SDN-based Approach for Flow Analysis Attack
    Authors: 劉亞翰;Liu,Ya-han
    Contributors: 資訊工程學系
    Keywords: 軟體定義網路;位置隱私;流量分析攻擊
    Date: 2014-08-19
    Issue Date: 2014-10-15 17:09:57 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 網路電話在現代社會變得越來越流行。隱私是一個網路電話重要的特性。 但不幸的是,大部份的點對點網路電話既不提供個人隱私也不保證一定的安全程度。在本文中我們提出了一種以K匿名為基礎的方式來防範特定攻擊者追蹤網路電話使用者的身份,並在不同的安全程度底下比較封包延遲時間以及通訊消耗。;VoIP (voice over IP) networks are becoming more and more popular in modern society. One of the most important features of a VoIP network is privacy (for VoIP users). Unfortunately, most peer-to-peer VoIP networks neither provide personalization nor guarantee a quantifiable privacy level. In this thesis, we propose a SDN-based approach to prevent flow analysis attack trying to trace user’s identity. Flow analysis attack will trace the flow which specific caller transmits, and try to find possible receiver, threat user’s privacy. We present the latency and number of packets in our method, while meeting customizable privacy guarantees.
    Appears in Collections:[Graduate Institute of Computer Science and Information Engineering] Electronic Thesis & Dissertation

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML331View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明