Evaluation, Energy Optimization, and Spectrum Analysis of an Artificial Noise Technique to Improve CWSN Security

This paper presents the security evaluation, energy consumption optimization, and spectrum scarcity analysis of artificial noise techniques to increase physical-layer security in Cognitive Wireless Sensor Networks (CWSNs). These techniques introduce noise into the spectrum in order to hide real info...

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Main Authors: Javier Blesa, Alvaro Araujo, Elena Romero, Octavio Nieto-Taladriz
Format: Article
Language:English
Published: Wiley 2013-06-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2013/834547
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author Javier Blesa
Alvaro Araujo
Elena Romero
Octavio Nieto-Taladriz
author_facet Javier Blesa
Alvaro Araujo
Elena Romero
Octavio Nieto-Taladriz
author_sort Javier Blesa
collection DOAJ
description This paper presents the security evaluation, energy consumption optimization, and spectrum scarcity analysis of artificial noise techniques to increase physical-layer security in Cognitive Wireless Sensor Networks (CWSNs). These techniques introduce noise into the spectrum in order to hide real information. Nevertheless, they directly affect two important parameters in Cognitive Wireless Sensor Networks (CWSNs), energy consumption and spectrum utilization. Both are affected because the number of packets transmitted by the network and the active period of the nodes increase. Security evaluation demonstrates that these techniques are effective against eavesdropper attacks, but also optimization allows for the implementation of these approaches in low-resource networks such as Cognitive Wireless Sensor Networks. In this work, the scenario is formally modeled and the optimization according to the simulation results and the impact analysis over the frequency spectrum are presented.
format Article
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institution Kabale University
issn 1550-1477
language English
publishDate 2013-06-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-c2fe7bd369004c61800f25c7be9cb5a02025-02-03T05:48:31ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-06-01910.1155/2013/834547Evaluation, Energy Optimization, and Spectrum Analysis of an Artificial Noise Technique to Improve CWSN SecurityJavier BlesaAlvaro AraujoElena RomeroOctavio Nieto-TaladrizThis paper presents the security evaluation, energy consumption optimization, and spectrum scarcity analysis of artificial noise techniques to increase physical-layer security in Cognitive Wireless Sensor Networks (CWSNs). These techniques introduce noise into the spectrum in order to hide real information. Nevertheless, they directly affect two important parameters in Cognitive Wireless Sensor Networks (CWSNs), energy consumption and spectrum utilization. Both are affected because the number of packets transmitted by the network and the active period of the nodes increase. Security evaluation demonstrates that these techniques are effective against eavesdropper attacks, but also optimization allows for the implementation of these approaches in low-resource networks such as Cognitive Wireless Sensor Networks. In this work, the scenario is formally modeled and the optimization according to the simulation results and the impact analysis over the frequency spectrum are presented.https://doi.org/10.1155/2013/834547
spellingShingle Javier Blesa
Alvaro Araujo
Elena Romero
Octavio Nieto-Taladriz
Evaluation, Energy Optimization, and Spectrum Analysis of an Artificial Noise Technique to Improve CWSN Security
International Journal of Distributed Sensor Networks
title Evaluation, Energy Optimization, and Spectrum Analysis of an Artificial Noise Technique to Improve CWSN Security
title_full Evaluation, Energy Optimization, and Spectrum Analysis of an Artificial Noise Technique to Improve CWSN Security
title_fullStr Evaluation, Energy Optimization, and Spectrum Analysis of an Artificial Noise Technique to Improve CWSN Security
title_full_unstemmed Evaluation, Energy Optimization, and Spectrum Analysis of an Artificial Noise Technique to Improve CWSN Security
title_short Evaluation, Energy Optimization, and Spectrum Analysis of an Artificial Noise Technique to Improve CWSN Security
title_sort evaluation energy optimization and spectrum analysis of an artificial noise technique to improve cwsn security
url https://doi.org/10.1155/2013/834547
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AT alvaroaraujo evaluationenergyoptimizationandspectrumanalysisofanartificialnoisetechniquetoimprovecwsnsecurity
AT elenaromero evaluationenergyoptimizationandspectrumanalysisofanartificialnoisetechniquetoimprovecwsnsecurity
AT octavionietotaladriz evaluationenergyoptimizationandspectrumanalysisofanartificialnoisetechniquetoimprovecwsnsecurity