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Location Privacy against Traffic Analysis Attacks through Mobile Sinks using Trust Value Computing
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 51 - Number 13 |
| Year of Publication: 2012 |
| Authors: Nithya Joy, Biju Paul |
10.5120/8104-1701
|
Nithya Joy, Biju Paul . Location Privacy against Traffic Analysis Attacks through Mobile Sinks using Trust Value Computing. International Journal of Computer Applications. 51, 13 ( August 2012), 34-37. DOI=10.5120/8104-1701
Abstract
We propose a method which provides location privacy against traffic analysis attacks. Traffic analysis is the process of intercepting and examining messages in order to deduce information from patterns in communication. It can be described as the passive attacks that try to deduce the traffic pattern based on the eavesdropped information. They launch an active attack according to the achieved information about the nodes and synchronizing the cooperation of distributed components. Base station location privacy is the important term that is combined with two important concepts defined above . The proposed location privacy method is designed in order to remove the local adversary effect, sinkhole attack and Sybil attack. The network mix ring concept helps in local adversary effect while we have designed mobile sinks against sink hole attack. The Sybil attack is prevented by the trust value computing. In this paper we present our proposed technique with the small experimental setup that helps in further simulation of the technique.
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