International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org
Call for Paper, Published Articles, Indexing Infromation
Title: |
Study of Statistical Traffic Pattern Discovery System for Anonymous MANET Communications
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Author Name: |
Nitin Malaviya , Mayura Sasane, Dharmesh Dhangar |
Abstract: |
Abstract
Many anonymity enhancing techniques have been proposed
based on packet encryption to protect the communication
anonymity of mobile ad hoc networks (MANETs). However, in
this paper, we show that MANETs are still vulnerable under
passive statistical traffic analysis attacks. To demonstrate how
to discover the communication patterns without decrypting the
captured packets, we present a novel statistical traffic pattern
discovery system (STARS). STARS works passively to perform
traffic analysis based on statistical characteristics of captured
raw traffic. STARS is capable of discovering the sources, the
destinations, and the end-to-end communication relations.
Empirical studies demonstrate that STARS achieves good
accuracy in disclosing the hidden traffic patterns.
Keywords:- Anonymous communication, mobile ad
hoc networks, statistical traffic analysis |
Cite this article: |
Nitin Malaviya , Mayura Sasane, Dharmesh Dhangar , "
Study of Statistical Traffic Pattern Discovery System for Anonymous MANET Communications " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS),
Volume 4, Issue 1, January - February 2015 , pp.
051-054 , ISSN 2278-6856.
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