Video Steganography Using Chaos Encryption Algorithm with High Efficiency Video Coding for Data Hiding

Abstract

Steganography is also known as data hiding, is a method of ensuring the security and confidentiality of digital data by hiding sensitive data in digital media. In video steganography, compression is the most demanding research area in block based video encoders. With the improvement of video coding equipment, the High Efficiency Video Coding (HEVC) delivers better coding efficiency. However, a large proportion of video frames showed system complexity and required a larger Coding Unit (CU) during encoding. Also, as the larger number of video frames were encoded, the time consumption was increased. To overcome such an issue, this research introduced the chaos with enhanced mapping technique to reduce computational complexity and fast encoding. In this research study, the position of each pixel of the secret video frame is calculated by the ELSB technique, where the existing LSB techniques have not considered this secret video frame's position which leads to high video distortion. In proposed chaos encryption with mapping method, the input video frames are encrypted by using logistic and henon mapping that simultaneously maintains quality and efficiency of the model. The HEVC technique compresses the input video frames and the proposed ELSB performs two functions namely replacement of LSB and matching of LSB which effectively embeds the secret video frames into cover video frames. Finally, the secret video frames are retrieved by HEVC technique with chaos decryption which provides security to the model. The results proved that proposed compression technique achieved PSNR of 35.81dB with average execution time of 40 seconds, but the existing H.264 compression technique achieved PSNR of 32.72dB with average execution time of 45 seconds.

Review: Dual Method Cryptography and Steganography in Video Frames in IoT

“…The proposed study also makes use of a modification of the Firefly optimization technique to enhance the selection of canopy blocks in the image. To guarantee data integrity and privacy, J. Vivek et al [59] suggested video stenography for real-time applications based on video compression techniques and a chaotic approach with improved mapping. D. Gurumoorthy et al [60] offer a recommended image encryption method based on elliptic Galois cryptography (EGC), and the encrypted data is then inserted into a square image using the steganography method Matrix XOR encoding.…”