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International Conference on Networking and Services (ICNS '07)
Malicious Node Detection in Wireless Sensor Networks Using an Autoregression Technique
Athens, Greece
June 19-June 25
ISBN: 0-7695-2858-9
ASCII Text
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Daniel-Ioan Curiac, Ovidiu Banias, Florin Dragan, Constantin Volosencu, Octavian Dranga, "Malicious Node Detection in Wireless Sensor Networks Using an Autoregression Technique," Networking and Services, International conference on, pp. 83, International Conference on Networking and Services (ICNS '07), 2007.
 
 
BibTex
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@article{ 10.1109/ICNS.2007.79,
author = {Daniel-Ioan Curiac and Ovidiu Banias and Florin Dragan and Constantin Volosencu and Octavian Dranga},
title = {Malicious Node Detection in Wireless Sensor Networks Using an Autoregression Technique},
journal ={Networking and Services, International conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2858-9},
pages = {83},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICNS.2007.79},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Networking and Services, International conference on
TI - Malicious Node Detection in Wireless Sensor Networks Using an Autoregression Technique
SN - 0-7695-2858-9
SP
EP
A1 - Daniel-Ioan Curiac,
A1 - Ovidiu Banias,
A1 - Florin Dragan,
A1 - Constantin Volosencu,
A1 - Octavian Dranga,
PY - 2007
KW - null
VL - 0
JA - Networking and Services, International conference on
ER -
 
Daniel-Ioan Curiac, Politehnica University Timisoara, Romania
Ovidiu Banias, Politehnica University Timisoara, Romania
Florin Dragan, Politehnica University Timisoara, Romania
Constantin Volosencu, Politehnica University Timisoara, Romania
Octavian Dranga, James Cook University
In this paper we propose a strategy based on past/present values provided by each sensor of a network for detecting their malicious activity. Basically, we will compare at each moment the sensor?s output with its estimated value computed by an autoregressive predictor. In case the difference between the two values is higher then a chosen threshold, the sensor node becomes suspicious and a decision block is activated.
Citation:
Daniel-Ioan Curiac, Ovidiu Banias, Florin Dragan, Constantin Volosencu, Octavian Dranga, "Malicious Node Detection in Wireless Sensor Networks Using an Autoregression Technique," icns, pp.83, International Conference on Networking and Services (ICNS '07), 2007
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