A game-theoretic response strategy for coordinator attack in wireless sensor networks.

Area of Science:

• Computer Science
• Network Security
• Wireless Communication

Background:

• The coordinator node is critical for ZigBee wireless sensor network (ZWSN) performance.
• Malicious attacks targeting coordinators disrupt network operations and waste resources.
• Current coordinator selection methods may not adequately address security vulnerabilities and performance degradation.

Purpose of the Study:

• To propose an adaptive coordinator selection algorithm for cooperative multihop ZWSNs.
• To enhance network security by defending against malicious node attacks on the coordinator.
• To improve network performance by minimizing data delivery delay and maximizing network lifetime.

Main Methods:

• Developed an adaptive coordinator selection algorithm integrating game theory and fuzzy logic.
• Formulated a stochastic game for dynamic defense strategies.
• Employed an evolutionary game formulation for coordinator selection and best response policy determination.

Main Results:

• The proposed algorithm effectively defends against malicious attacks on the coordinator node.
• Achieved a stable equilibrium best response policy for enhanced network security.
• Demonstrated improvements in network reliability and energy conservation throughout the network lifetime.

Conclusions:

• The adaptive coordinator selection algorithm offers a robust solution for securing ZWSNs against coordinator attacks.
• The integration of game and fuzzy logic optimizes coordinator selection for improved network longevity and efficiency.
• This approach significantly enhances the overall resilience and performance of cooperative ZWSNs.