International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,November 2017,

Topic : Distinguish DDoS Attacks and Suggesting Some Counter Measures For Distributed P2P Networks

Authors:Gera Jaideep || R.V.Kishore Kumar, Dr.B.V.V.S.Prasad

Abstract:Peer-to-Peer networks became more popular in now days because of its useful delivery services. It utilizes distributed resources to perform some intended activities. Because of its distributed in nature they are widely used in file sharing. For every network there is a common problem that is an attack, it may of many types in those most complicated and highly threatening and hard to detect attack in distributed Peer-to-Peer network is Distributed Denial of Service (DDoS) attack. An attack that interrupts the services to all the users is DDoS attack. Many techniques are in existence to solve the DDoS attack but still hard to respond in short time to flooding based DDoS attacks. The reason is this attack is made by intruders or opponents who use large number of attacking machines by a method of source address spoofing. In this paper we proposed architecture, this designed structure defend and detect DDoS attacks. Here we can resolve this with the help of two important parameters. Time-to-Live (TTL) value and the distance between victims source to victim’s destination. This architecture can take care of agent-based trace back, traffic control and detection of DDoS attack. The proposed methodology can detect and prevent DDoS attacks and ensure Quality of service for real traffic..

Keywords: DDos attack, Distributed Peer-to-Peer Networks, security, agent-based approach.

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DOI: 01.1617/vol4/iss11/pid81490


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
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