A Novel Friendly Jamming Scheme in Industrial Crowdsensing Networks against Eavesdropping Attack

Area of Science:

• Computer Science
• Electrical Engineering
• Network Security

Background:

• Industrial crowdsensing networks face significant eavesdropping threats.
• Protecting sensitive data in these networks is crucial for operational integrity.

Purpose of the Study:

• To propose and evaluate a novel anti-eavesdropping scheme for industrial crowdsensing networks.
• To introduce friendly jammers as a security measure against eavesdropping attacks.

Main Methods:

• Developed a theoretical framework to assess the effectiveness of friendly jammers.
• Incorporated channel conditions like path loss, Rayleigh fading, and jammer antenna type.
• Analyzed both eavesdropping attack probability and successful transmission probability.

Main Results:

• The proposed scheme effectively reduces the risk of eavesdropping attacks.
• Friendly jammers demonstrated no significant negative impact on legitimate communications.
• The theoretical framework accurately evaluates the anti-eavesdropping scheme's performance.

Conclusions:

• Introducing friendly jammers is a viable strategy for enhancing security in industrial crowdsensing.
• The scheme offers a practical solution to mitigate eavesdropping threats in industrial environments.
• Further research can explore optimal jammer placement and configurations for diverse industrial settings.