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Design and Analysis for Fall Detection System Simplification
Published on: April 6, 2020
Information warfare-worthy jamming attack detection mechanism for wireless sensor networks using a fuzzy inference
Sudip Misra1, Ranjit Singh, S V Rohith Mohan
1School of Information Technology, Indian Institute of Technology, Kharagpur-721302, WB, India. sudipm@iitkgp.ac.in
Sensors (Basel, Switzerland)
|February 10, 2012
Summary
This study introduces a novel network-centric jamming attack detection system for wireless sensor networks, achieving a 99.8% true detection rate for robust information warfare defense.
Area of Science:
- Computer Science
- Electrical Engineering
- Cybersecurity
Background:
- Wireless sensor networks (WSNs) are vulnerable to jamming attacks.
- Existing node-centric detection systems lack robustness and scalability.
- Jamming intensity assessment often requires non-crisp decision-making.
Purpose of the Study:
- To propose a novel network-centric jamming attack detection mechanism for WSNs.
- To enhance detection robustness and node economy.
- To address the challenge of assessing jamming intensity using fuzzy logic.
Main Methods:
- Upgraded jammer model to include versatile military jammers.
- Transitioned from node-centric to network-centric detection architecture.
- Employed a fuzzy inference system for jamming intensity assessment.
Main Results:
- Achieved high system robustness.
- Enabled grading of nodes with jamming indices.
- Demonstrated a true-detection rate as high as 99.8%.
Conclusions:
- The proposed system offers a robust and economical solution for jamming detection in WSNs.
- The network-centric approach and fuzzy inference system enhance detection capabilities.
- The system is suitable for information warfare defense applications.
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