Abstract
Media streaming falls into the category of Big Data. Regardless of the video duration, an enormous amount of information is encoded in accordance with standardized algorithms of videos. In the transmission of videos, the intended recipient is allowed to receive a copy of the broadcasted video; however, the adversary also has access to it which poses a serious concern to the data confidentiality and availability. In this paper, a cryptographic algorithm, Advanced Encryption Standard, is used to conceal the information from malicious intruders. However, in order to utilize fewer system resources, video information is compressed before its encryption. Various compression algorithms such as Discrete Cosine Transform, Integer Wavelet transforms, and Huffman coding are employed to reduce the enormous size of videos. moving picture expert group is a standard employed in video broadcasting, and it constitutes of different frame types, viz., I, B, and P frames. Later, two frame types carry similar information as of foremost type. Even I frame is to be processed and compressed with the abovementioned schemes to discard any redundant information from it. However, I frame embraces an abundance of new information; thus, encryption of this frame is sufficient enough to safeguard the whole video. The introduction of various compression algorithms can further increase the encryption time of one frame. The performance parameters such as PSNR and compression ratio are examined to further analyze the proposed model’s effectiveness. Therefore, the presented approach has superiority over the other schemes when the speed of encryption and processing of data are taken into consideration. After the reversal of the complete system, we have observed no major impact on the quality of the deciphered video. Simulation results ensure that the presented architecture is an efficient method for enciphering the video information.
Highlights
A city becomes smart when the physical objects are transformed into cyberphysical objects
A similar technique of joint image compression and encryption using the properties of integer wavelet transform (IWT) and SPHIT was presented where multiple methods were exploited such as hyperchaotic system, secure hash algorithm, nonlinear inverse operation, and plain text-based keystream to improve the security [24]
The video is played in MATLAB video reader from where I, B, and P frames are extracted from MPEG video
Summary
A city becomes smart when the physical objects are transformed into cyberphysical objects. The presented scheme of partial encryption technique was later applied in numerous image and video compression algorithms. For the joint compression and encryption of medical images, another author proposed a technique where the image was compressed by Discrete Wavelet Transform (DWT) and encrypted by Advanced Encryption Algorithm This scheme was designed to increase protection along with security [23]. A similar technique of joint image compression and encryption using the properties of integer wavelet transform (IWT) and SPHIT was presented where multiple methods were exploited such as hyperchaotic system, secure hash algorithm, nonlinear inverse operation, and plain text-based keystream to improve the security [24]. SHA-256 has been used to build a secure, chaotic cryptosystem that is resistant to certain common attacks Another approach based on 3D chaotic maps was presented to decorate the adjacent pixels of an image after successfully implementing the arithmetic compression algorithm.
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