文化大學機構典藏 CCUR:Item 987654321/35392
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 47121/50987 (92%)
Visitors : 13817718      Online Users : 249
RC Version 6.0 © 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: https://irlib.pccu.edu.tw/handle/987654321/35392


    Title: Detection of wormhole attacks on IPv6 mobility-based wireless sensor network
    Authors: Lai, GH (Lai, Gu-Hsin)
    Contributors: 資管系
    Keywords: Wormhole attack
    Sensor networks
    IPv6
    RPL
    Mobility
    Date: 2016-11-29
    Issue Date: 2017-02-13 10:34:54 (UTC+8)
    Abstract: New communication networks are composed of multiple heterogeneous types of networks including Internet, mobile networks, and sensor networks. Wireless sensor networks have been applied to various businesses and industries since the last decade. Most sensors have the ability of communication and the requirement of low power consumption. 6LoWPAN (IPv6 over Low Power Wireless Personal Area Networks) plays an important role in this convergence of heterogeneous technologies, which allows sensors to transmit information using IPv6 stack. Sensors perform critical tasks and become targets of attacks.

    Wormhole attack is one of the most common attacks to sensor networks, threatening the network availability by dropping data or disturbing routing paths. RPL (IPv6 Routing Protocol for Low-Power and Lossy Networks) is a standard routing protocol commonly used in sensor networks. This study proposes a RPL-based wormhole detection mechanism. The rank of a node-defined RPL is adopted to measure the distance. The proposed detection method discovers malicious wormhole nodes if unreasonable rank values are identified. The experimental results show that the proposed detection method can identify wormholes effectively under various wireless sensor networks.
    Relation: EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING 文獻號碼: 274
    Appears in Collections:[Department of Landscape Architecture & Graduate Institute of Landscape Architecture ] journal articles

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML413View/Open


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


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback