Cooperative Friendly Jamming Techniques for Drone-Based Mobile Secure Zone

Area of Science:

• Cybersecurity
• Wireless Communication Networks
• Mobile Computing

Background:

• Wireless communication, especially for the Internet of Things (IoT), faces escalating eavesdropping and information leakage threats due to open network environments.
• Existing security protocols often require complex hardware, limiting their applicability to mobile networks and IoT devices.
• There is a critical need for lightweight, mobile security models to address these vulnerabilities.

Purpose of the Study:

• To propose and evaluate a novel security model for wireless mobile communication networks.
• To enhance security against eavesdropping and information leakage in vulnerable environments like IoT.
• To introduce a solution that is both lightweight and highly mobile.

Main Methods:

• Development of a security model applying cooperative friendly jamming using artificial noise.
• Integration of drone mobility as autonomous moving objects to establish secure zones.
• Validation through simulations and field tests to demonstrate effectiveness.

Main Results:

• The proposed Cooperative Friendly Jamming Techniques for Drone-based Mobile Secure Zone (CFJ-DMZ) effectively reduces eavesdropping threats.
• Experimental results show an average information leakage rate of less than or equal to 3% in CFJ-DMZ applied scenarios.
• This represents an average improvement of 92% in security compared to conventional methods.

Conclusions:

• Cooperative friendly jamming with drone mobility offers a viable solution for creating secure mobile zones.
• The CFJ-DMZ model significantly enhances the security of wireless mobile communication networks, particularly for IoT.
• The lightweight and mobile nature of the proposed solution addresses the limitations of current security protocols.