The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs

Area of Science:

• Computer Science
• Information Security
• Electrical Engineering

Background:

• Modern warfare relies heavily on information superiority, making secure data transmission crucial.
• Unmanned Aerial Vehicles (UAVs) are vital for reconnaissance, capturing image data wirelessly.
• Existing encryption algorithms face challenges in efficiency and security for real-time applications.

Purpose of the Study:

• To develop an improved image scrambling encryption algorithm for secure UAV data transmission.
• To address the limitations of traditional encryption methods in terms of speed and robustness.
• To enhance the security and efficiency of image information transmission in modern military contexts.

Main Methods:

• Proposed an improved image scrambling encryption algorithm based on Fibonacci-p coding.
• Introduced a novel approach by separating signs and data of DCT coefficients into symbol and data matrices for encryption.
• Implemented color image encryption by converting RGB to YCbCr color spaces for enhanced processing.

Main Results:

• The algorithm demonstrates optimal comprehensive performance across various image types.
• Experimental results validate the enhanced security and efficiency of the proposed encryption method.
• The technique effectively secures image data during wireless transmission from UAVs.

Conclusions:

• The improved Fibonacci-p coding-based algorithm offers a superior solution for image encryption in UAV reconnaissance.
• The novel scrambling and color space conversion techniques enhance both security and processing efficiency.
• This algorithm is well-suited for securing critical image information in modern military operations.