Barycentric Coordinate-Based Distributed Localization for Wireless Sensor Networks Under False-Data-Injection...

Area of Science:

• Computer Science
• Network Security
• Wireless Sensor Networks

Background:

• Localization security is vital for wireless sensor network (WSN) applications.
• Deception attacks pose a significant threat by injecting false data into communication channels.
• Existing localization methods are vulnerable to such sophisticated attacks.

Purpose of the Study:

• To develop a robust distributed localization algorithm for WSNs resilient to deception attacks.
• To address the challenge of false data injection in WSN communication links.
• To ensure accurate sensor positioning despite adversarial manipulations.

Main Methods:

• A distributed iterative localization algorithm employing a detection-holding strategy.
• Utilizing barycentric coordinate representations for localization.
• Implementing residual detection and communication encryption to identify modified data.
• Theoretical analysis to prove convergence under random false-data-injection attacks.

Main Results:

• The proposed algorithm effectively detects and mitigates data manipulation in WSNs.
• Accurate convergence to sensor locations is theoretically guaranteed under general attacks.
• Simulation results validate the algorithm's performance and robustness.

Conclusions:

• The developed algorithm offers enhanced security for distributed localization in WSNs.
• It provides a reliable solution against deception attacks involving false data injection.
• The findings contribute to the secure deployment of WSNs in critical applications.