Authors: Shaimaa A. El-said; Khalid F.A. Hussein; Mohamed M. Fouad
Addresses: Electronics and Communications Department, Faculty of Engineering, Zagazig University, P.O. Box 44519, Zagazig, Egypt. ' Electronics Research Institute/Microwaves Department, Researches National Institute, P.O. Box 457, Dokki, Egypt. ' Electronics and Communications Department, Faculty of Engineering, Zagazig University, P.O. Box 44519, Zagazig, Egypt
Abstract: Security and privacy issues of the transmitted data have become an important concern in multimedia technology. In this paper, we propose two computationally efficient and secure video in-compression encryption models. Both models use adaptive lossy image compression (ALIC) technique (El-said et al., 2010) for video compression and optimised multiple Huffman tables (OMHT) technique (El-said et al., 2011) for video encryption. We achieve computational efficiency by using the proposed ALIC technique that exploits the frequently occurring patterns in the DCT coefficients of the video data. Computational complexity of the encryption is made proportional to the number of DCT transmitted coefficients in each video frame. The proposed video encryption models produce an encrypted coded sequence with an improved quality for the high compression ratios when compared to the existing techniques. The performances of the proposed models are compared with those of the existing techniques with respect not only to their compression performance but also their security level. The simulation study for the two models over mobile communication system proves that the proposed models perform well in the presence of transmission errors.
Keywords: videos compression; in-compression encryption; optimised multiple Huffman tables; computational cost analysis; cryptanalysis; performance analysis; transmission over mobile channels; WCDMA; cryptography; security; privacy; multimedia technology; adaptive lossy image compression; video encryption; transmission errors; mobile communications.
International Journal of Intelligent Engineering Informatics, 2011 Vol.1 No.3/4, pp.213 - 245
Received: 01 Mar 2011
Accepted: 08 May 2011
Published online: 28 Feb 2015 *