Commutative Encryption and Data Hiding in HEVC Video Compression

ABSTRACT:

In this paper, an efficient commutative encryption and data hiding scheme for HEVC videos is proposed. The commutative property allows ciphering a steganographic video without interfering with the embedded signal or to perform steganography on an encrypted video while still allowing perfect decryption. The syntax elements in the HEVC standard, including the sign of quantized transform coefficient (QTC), the sign of motion vector difference (MVD), and the intra-prediction mode (IPM) are encrypted, which distorts video content greatly and thus keeps perception security. Data embedding employs a specific QTC modification method, which makes the visual distortion caused by data hiding very low. Furthermore, the proposed framework will produce an HEVC format compliant bitstream and permits the hidden information to be extracted either in the encrypted domain or in the decrypted domain. Several benchmark video sequences of different resolutions and diverse contents are used for experimental evaluation.

PROJECT OUTPUT VIDEO:

OUR PROPSED ABSTRACT:

As use of computer networks and internet is growing very fast and admiring day by day, information security is become a major concern in computer networks. In this paper, an efficient commutative encryption and data hiding scheme for H.264 videos is proposed. Proposed system presents the H.264 video compression. The commutative property allows ciphering a steganographic video without interfering with the embedded data. In order to increase the security video frame is encrypted using pseudo random sequence generator. Data hiding technique is proposed in compressed H.264 Video Stream. The stream of message bits is embedded into video stream using Edge Based Least Significant Bit Substitution technique. This work presents a security system using combination of cryptography and steganography to enhance the security. For the conduction of experiment, video sequences of two or three sets have chosen. The results shows that the proposed technique yields better performance in terms of Structural similarity index (SSIM) and Peak signal to noise ratio (PSNR) when compare to existing methods.

EXISTING SYSTEM & DISADVANTAGES:

• In existing, they proposed image compression based on JPEG compression method.

• In that, discrete cosine transformation is used to JPEG compression.

• It makes the more complex to hiding of secret data inside an image and it degrades the image quality.

PROPOSED SYSTEM &ADVANTAGES:

The proposed model has follow as,

• First, acquires the video from public database. After that, frames extraction is performed in acquired video.

• Second, choose any one frame and perform color conversion for further processing.

• Third, H.264 encoding is implementing to frame compression.

• Fourth, data is hided into compressed frame based on edge based data hiding model. After that, data hided frame is encrypted by using pseudo random sequence generator.

• Finally, steganographic in decryption side, reverse process is implementing to retrieve the data and reconstruct the original video.

SYSTEM REQUIREMENTS:

HARDWARE REQUIREMENTS:

• System            : Pentium Dual Core.

• Hard Disk       : 120 GB.

• Monitor          : 15’’ LED

• Input Devices : Keyboard, Mouse

• Ram                : 1GB.

SOFTWARE REQUIREMENTS:

• Operating system : Windows 7.

• Coding Language : MATLAB.

• Tool                       : MATLAB R2013A /2018

REFERENCE:

DAWEN XU, “Commutative Encryption and Data Hiding in HEVC Video Compression”, IEEE Access, 2019.