Cooperative detection and protection for Interest flooding attacks in named data networking

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Title:	Cooperative detection and protection for Interest flooding attacks in named data networking
Authors:	施國琛;Ding, Kun;Liu, Yun;Cho, Hsin-Hung;Chao, Han-Chieh;Shih, Timothy K.
Contributors:	資訊電機學院資訊工程學系
Keywords:	Algorithms;Architecture (computers);Computer simulation;Flooding;Interest flooding attack;Markov chain;Markov models;Modules;named data networking;Networks;next-generation network communication system;TCP (protocol);vector space model
Date:	2016-09-10
Issue Date:	2026-04-23 13:26:56 (UTC+8)
Publisher:	John Wiley and Sons Ltd;Chichester: Blackwell Publishing Ltd
Abstract:	摘要： Summary Named data networking (NDN) is a new emerging architecture for future network, which may be a substitute of the current TCP/IP‐based network, for the content‐oriented data request mode becoming the future trend of development. The security of NDN has attracted much attention, as an implementation of next‐generation Internet architecture. Although NDN is immune to most current attack, it cannot resist the distributed denial of service like attack – Interest flooding attack (IFA) – effectively. IFA takes advantages of the forwarding mechanism of NDN, flooding a large number of malicious Interest packets at quite a high rate, and exploits the network resources, which may cause the paralysis of the network. Taking into account the severity of the destruction, we propose an algorithm to counter such new type of attack. We analyze three properties of IFA, and use them to judge and filter Interest packets. Vector space model and Markov model are used in our method to realize a cooperative detection. Meanwhile, we present the retransmission forwarding mechanism to ensure legitimate user request. The ndnSIM module of ns3 is used for the corresponding simulation, and results of the simulation will be given to show the effectiveness of our algorithm. Copyright © 2014 John Wiley & Sons, Ltd. We propose an algorithm to counter Interest flooding attacks in named data networking. We analyze three properties of IFA, and use Vector space model and Markov model to judge and filter Interest packets, realizing a cooperative detection. Meanwhile, we present the retransmission forwarding mechanism to ensure legitimate user request. The ndnSIM module of ns3 is used for the corresponding simulation, and results of the simulation will be given to show the effectiveness of our algorithm. 其他題名： Int. J. Commun. Syst 出版者： Chichester: Blackwell Publishing Ltd 出版日期： 2016-09-10 出處： International journal of communication systems, 2016-09, Vol.29 (13), p.1968-1980 版權： Copyright © 2014 John Wiley & Sons, Ltd. 版權： Copyright © 2016 John Wiley & Sons, Ltd. 識別號： ISSN: 1074-5351 識別號： EISSN: 1099-1131 識別號： DOI: 10.1002/dac.2883
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

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