An Effecient Misbehaving Node Detection Algorithm in Manet

An Effecient Misbehaving Node Detection Algorithm in Manet

Shaheen Bohra

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Naveen Choudhary

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Maharana Pratap University of Agriculture and Technology

An Effecient Misbehaving Node Detection Algorithm in Manet

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Abstract

Manet is a collection of self-organizing mobile nodes participating in the network to forward packets for each other. However, some nodes in the network do not forward packets in order to save their energy. But these nodes make use of other nodes to forward their packets. Such unfair use of the network leads to degradation of its performance. So it is very important to detect such misbehaving nodes in the network. So in order to improve network performance we propose a scheme that is a combination of overhearing and acknowledgement based method to detect misbehaving nodes. The scheme is proposed to be built on top of DSR routing protocol.

References

14 Cites in Article

Reference Format

S Padiya,R Pandit,S Patel A System for MANET to Detect Selfish Nodes Using NS2.
L Buttyan,J Hubaux (2002). Stimulating cooperation in self-organizing mobile ad hoc networks.
K Vijaya (2008). Secure 2ACK routing protocol in Mobile Ad Hoc Networks.
K Balakrishnan,Jing Deng,P Varshney (2005). TWOAK: preventing selfishness in mobile ad hoc networks.
S Bansal,M Baker (2003). Observation-based cooperation enforcement in ad hoc network.
S Misra,I Woungang,S Misra (2009). Guide to Wireless Ad Hoc Networks.
Sergio Marti,T Giuli,Kevin Lai,Mary Baker (2000). Mitigating routing misbehavior in mobile ad hoc networks.
S Zhong,J Chen,Y Yang (2003). Sprite: a simple, cheat-proof, credit-based system for mobile ad-hoc networks.
S Buchegger,J Boudec (2002). Performance Analysis of the CONFIDANT Protocol : Cooperation of Nodes -Fairness in Dynamic Ad Hoc NeTworks.
P Michiardi,R Molva (2002). CORE: A collaborative reputation mechanism to enforce node cooperation in mobile ad hoc networks.
A Saxena,J Rana (2010). Analysis of Selfish and Malicious Nodes on DSR Based Ocean Protocol in MANET.
H Qi,O Wu,P Khosla (2004). SORI: A Secure and Objective Reputation-based Incentive Scheme for Ad-hoc Networks.
Saeed Soltanali,Sajjad Pirahesh,Salman Niksefat,Masoud Sabaei (2007). An Efficient Scheme to Motivate Cooperation in Mobile Ad hoc Networks.
A Al-Roubaiey,T Sheltami,A Mahmoud,E Shakshuki,H Mouftah (2010). AACK: Adaptive Acknowledgment Intrusion Detection for MANET with Node Detection Enhancement.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Shaheen Bohra. 2015. \u201cAn Effecient Misbehaving Node Detection Algorithm in Manet\u201d. Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 15 (GJCST Volume 15 Issue H2): .

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GJCST Volume 15 Issue H2
Pg. 17- 23

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-H Classification: C.2.1

Submission ReceivedDecember 8, 2014
Peer Review Double Blind
Handling Editor
Accepted December 31, 2014
Published January 15, 2015

Version of record

v1.2

Issue date

July 27, 2015

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - H: Information & Technology

Authors: Shaheen Bohra, Naveen Choudhary (PhD/Dr. count: 0)

View Count (all-time): 228

Total Views (Real + Logic): 8186

Total Downloads (simulated): 2073

Publish Date: 2015 07, Mon

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Total Views: 8186

Total Downloads: 2073

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