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Reseach Article

Counteracting an Active Attack within MANET by Exploiting Luby Transform Codes

by J.deepa, K.hemapriya, S.kaviarasan
journal cover thumbnail
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Number 18
Year of Publication: 2015
Authors: J.deepa, K.hemapriya, S.kaviarasan
10.5120/19927-2050

J.deepa, K.hemapriya, S.kaviarasan . Counteracting an Active Attack within MANET by Exploiting Luby Transform Codes. International Journal of Computer Applications. 113, 18 ( March 2015), 30-33. DOI=10.5120/19927-2050

@article{ 10.5120/19927-2050,
author = { J.deepa, K.hemapriya, S.kaviarasan },
title = { Counteracting an Active Attack within MANET by Exploiting Luby Transform Codes },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 113 },
number = { 18 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume113/number18/19927-2050/ },
doi = { 10.5120/19927-2050 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:51:16.308205+05:30
%A J.deepa
%A K.hemapriya
%A S.kaviarasan
%T Counteracting an Active Attack within MANET by Exploiting Luby Transform Codes
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 18
%P 30-33
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we consider a scenario where nodes in a MANET disseminate data chunks using rateless codes. Any node in MANET is able to successfully decode any chunk by collecting enough coded blocks from several other nodes without any coordination. Here the problem is to identify malicious nodes that launch a pollution attack using SIEVE a decentralized, accurate and robust technique that exploits rateless codes which detect chunk integrity. Source nodes transmit data using Luby Transform codes (a class of rateless codes) and any legitimate node in a WMN executes a randomized and fully distributed detection mechanism to detect its malicious neighbors and it is isolated subsequently. Furthermore, an interesting trade-off between coding efficiency and SIEVE completeness, reactivity and accuracy is discovered. We also show that SIEVE is efficient that requires low memory, computational and communication resources.

References
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Index Terms

Computer Science
Information Sciences

Keywords

MANET Luby Transform Codes Malicious Node Isolation