On Performance Analysis of Protective Jamming Schemes in Wireless Sensor Networks

Area of Science:

• Cyber Physical Social Sensing (CPSS)
• Wireless Sensor Networks (WSNs)
• Network Security

Background:

• Eavesdropping attacks pose a significant threat to Wireless Sensor Networks (WSNs), often serving as a precursor to other malicious activities.
• Securing CPSS systems reliant on WSNs is crucial for data integrity and user privacy.
• Existing security mechanisms may not adequately address the specific vulnerabilities of WSNs to eavesdropping.

Purpose of the Study:

• To propose and evaluate a novel anti-eavesdropping mechanism for WSNs using friendly jammers.
• To develop a theoretical framework for assessing eavesdropping risk in WSNs with and without friendly jammers.
• To analyze the impact of jammer placement and power control on network security and performance.

Main Methods:

• Development of a theoretical framework to quantify eavesdropping risk.
• Inclusion of channel conditions like path loss and Rayleigh fading in the model.
• Consideration of jammer placement schemes and power control strategies.
• Extensive simulation and analysis of the proposed mechanism.

Main Results:

• Introduction of friendly jammers significantly reduces the eavesdropping risk in WSNs.
• The theoretical framework accurately models eavesdropping risk under various conditions.
• Optimal jammer placement and power assignment are key to maximizing security benefits.
• The proposed mechanism demonstrates minimal impact on legitimate WSN communication.

Conclusions:

• Friendly jammers offer an effective solution for mitigating eavesdropping threats in WSNs.
• Strategic deployment and power management of jammers are essential for optimal anti-eavesdropping performance.
• The proposed approach enhances the security of Cyber Physical Social Sensing systems without compromising network functionality.