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Analysis of Byzantine Attacks for Target Tracking in Wireless Sensor Networks
Yukun Yang1, Pengwen Xiong1, Qing Wang1
1School of Information Engineering, Nanchang University, Xuefu Road No.999, Honggutan New District, Nanchang 330031, China.
Sensors (Basel, Switzerland)
|August 8, 2019
Summary
This study addresses Byzantine attacks in wireless sensor networks (WSNs) for target tracking. A modified SIR filter improves tracking accuracy and system security against these attacks.
Area of Science:
- Computer Science
- Electrical Engineering
- Cybersecurity
Background:
- Wireless sensor networks (WSNs) are vulnerable to Byzantine attacks, compromising target tracking accuracy.
- Understanding the impact of these attacks is crucial for developing robust tracking systems.
Purpose of the Study:
- To analyze the performance degradation of target tracking systems due to Byzantine attacks.
- To develop a defense mechanism against Byzantine attacks in WSNs.
- To investigate the trade-offs between attack cost, system security, and estimation performance.
Main Methods:
- Calculation of the posterior Cramer-Rao lower bound (PCRLB) for jointly estimating target state and attack parameters.
- Definition and theoretical derivation of optimal and suboptimal Byzantine attack strategies.
- Development of a modified Sampling Importance Resampling (SIR) filter for enhanced tracking.
Main Results:
- The modified SIR filter demonstrates tracking results close to the true target trajectory.
- Increased quantization levels enhance both security and estimation performance of the tracking system.
- Theoretical frameworks for optimal and suboptimal Byzantine attacks were established.
Conclusions:
- The proposed modified SIR filter effectively mitigates the negative impacts of Byzantine attacks on WSN target tracking.
- Quantization level is a critical parameter influencing the overall performance and security of the tracking system.
- The study provides insights into attack strategies and defense mechanisms in WSN security.
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