Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System

The proposed mechanism for jamming attack detection for wireless sensor networks is novel in three respects: firstly, it upgrades the jammer to include versatile military jammers; secondly, it graduates from the existing node-centric detection system to the network-centric system making it robust an...

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Main Authors: Sudip Misra, Ranjit Singh, S. V. Rohith Mohan
Format: Article
Language:English
Published: MDPI AG 2010-04-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/10/4/3444/
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author Sudip Misra
Ranjit Singh
S. V. Rohith Mohan
author_facet Sudip Misra
Ranjit Singh
S. V. Rohith Mohan
author_sort Sudip Misra
collection DOAJ
description The proposed mechanism for jamming attack detection for wireless sensor networks is novel in three respects: firstly, it upgrades the jammer to include versatile military jammers; secondly, it graduates from the existing node-centric detection system to the network-centric system making it robust and economical at the nodes, and thirdly, it tackles the problem through fuzzy inference system, as the decision regarding intensity of jamming is seldom crisp. The system with its high robustness, ability to grade nodes with jamming indices, and its true-detection rate as high as 99.8%, is worthy of consideration for information warfare defense purposes.
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spelling doaj.art-ac5e0eb6d53440b1a398bc89e94737fb2022-12-22T04:23:04ZengMDPI AGSensors1424-82202010-04-011043444347910.3390/s100403444Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference SystemSudip MisraRanjit SinghS. V. Rohith MohanThe proposed mechanism for jamming attack detection for wireless sensor networks is novel in three respects: firstly, it upgrades the jammer to include versatile military jammers; secondly, it graduates from the existing node-centric detection system to the network-centric system making it robust and economical at the nodes, and thirdly, it tackles the problem through fuzzy inference system, as the decision regarding intensity of jamming is seldom crisp. The system with its high robustness, ability to grade nodes with jamming indices, and its true-detection rate as high as 99.8%, is worthy of consideration for information warfare defense purposes.http://www.mdpi.com/1424-8220/10/4/3444/wireless sensor networksjamming detectionfuzzy inference systeminformation warfare
spellingShingle Sudip Misra
Ranjit Singh
S. V. Rohith Mohan
Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System
Sensors
wireless sensor networks
jamming detection
fuzzy inference system
information warfare
title Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System
title_full Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System
title_fullStr Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System
title_full_unstemmed Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System
title_short Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System
title_sort information warfare worthy jamming attack detection mechanism for wireless sensor networks using a fuzzy inference system
topic wireless sensor networks
jamming detection
fuzzy inference system
information warfare
url http://www.mdpi.com/1424-8220/10/4/3444/
work_keys_str_mv AT sudipmisra informationwarfareworthyjammingattackdetectionmechanismforwirelesssensornetworksusingafuzzyinferencesystem
AT ranjitsingh informationwarfareworthyjammingattackdetectionmechanismforwirelesssensornetworksusingafuzzyinferencesystem
AT svrohithmohan informationwarfareworthyjammingattackdetectionmechanismforwirelesssensornetworksusingafuzzyinferencesystem