Sinkhole Attack Defense Strategy Integrating SPA and Jaya Algorithms in Wireless Sensor Networks

Area of Science:

• Computer Science
• Network Security
• Wireless Sensor Networks

Background:

• Sinkhole attacks pose a significant threat to Wireless Sensor Networks (WSNs) due to their ease of execution and high impact.
• These attacks are difficult to detect and defend against, compromising network integrity and data transmission.

Purpose of the Study:

• To propose an integrated strategy for detecting and defending against sinkhole attacks in WSNs.
• To enhance the security, reliability, and efficiency of WSNs against malicious node activities.

Main Methods:

• A novel detection and defense strategy combining the Sine Cosine Algorithm (SPA) and Jaya optimization algorithm.
• Utilizing the SPA trust model to calculate trust values for suspicious nodes and identify attack nodes.
• Employing the Jaya algorithm to reroute network traffic away from compromised areas and isolate malicious nodes.

Main Results:

• The proposed algorithm effectively detects malicious nodes within the WSN.
• The defense strategy significantly improves the packet delivery rate.
• Reduced network delay and energy consumption were observed, enhancing overall network performance.

Conclusions:

• The integrated SPA and Jaya algorithm approach provides an effective solution for sinkhole attack detection and defense in WSNs.
• The strategy enhances network security, reliability, and operational efficiency, addressing key vulnerabilities.