Tactile Routing for Location Privacy Preservation in Wireless Sensor Networks: A Game Theoretic Approach.

Area of Science:

• Computer Science
• Network Security
• Cybersecurity

Background:

• Location Privacy Preservation (LPP) is crucial for Wireless Sensor Networks (WSNs) in the context of IoT and smart systems.
• Existing research often focuses on fixed routing protocols against specific attack mechanisms.
• Advancements in network softwarization enable dynamic strategy deployment.

Purpose of the Study:

• To propose a novel approach for LPP in WSNs using game theory.
• To allow both WSN managers and adversaries to deploy multiple routing and attack mechanisms, respectively.
• To address multi-objective optimization and incomplete information within the game framework.

Main Methods:

• Formulation as a repeated two-player zero-sum game.
• Extension to handle multiple objectives using the epsilon constraint method.
• Modeling incomplete information as interval-based uncertainty, leading to linear programming problems.

Main Results:

• The proposed formulation is efficiently solvable using linear programming.
• Numerical case studies demonstrate the approach's applicability.
• The method provides a framework for dynamic LPP strategies in WSNs.

Conclusions:

• The game-theoretic approach offers a flexible and efficient solution for LPP in WSNs.
• It effectively handles dynamic strategies, multiple objectives, and uncertainty.
• This work lays the foundation for advanced privacy-preserving mechanisms in WSNs.