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Entropy 2014, 16(10), 5575-5600;

Partial Encryption of Entropy-Coded Video Compression Using Coupled Chaotic Maps

Faculty of Information Technology, Applied Science Private University, Shafa Badran, 11931 Amman, Jordan
Center for Research in Mathematics (CIMAT), Apartado Postal 402, Guanajuato, C.P. 36000, México
Department of Electrical and Computer Engineering, Illinois Institute of Technology, 3300 South Federal Street, Chicago, IL 60616-3793, USA
Author to whom correspondence should be addressed.
Received: 9 August 2014 / Revised: 1 October 2014 / Accepted: 17 October 2014 / Published: 23 October 2014
(This article belongs to the Section Information Theory)
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Due to pervasive communication infrastructures, a plethora of enabling technologies is being developed over mobile and wired networks. Among these, video streaming services over IP are the most challenging in terms of quality, real-time requirements and security. In this paper, we propose a novel scheme to efficiently secure variable length coded (VLC) multimedia bit streams, such as H.264. It is based on code word error diffusion and variable size segment shuffling. The codeword diffusion and the shuffling mechanisms are based on random operations from a secure and computationally efficient chaos-based pseudo-random number generator. The proposed scheme is ubiquitous to the end users and can be deployed at any node in the network. It provides different levels of security, with encrypted data volume fluctuating between 5.5–17%. It works on the compressed bit stream without requiring any decoding. It provides excellent encryption speeds on different platforms, including mobile devices. It is 200% faster and 150% more power efficient when compared with AES software-based full encryption schemes. Regarding security, the scheme is robust to well-known attacks in the literature, such as brute force and known/chosen plain text attacks. View Full-Text
Keywords: chaotic maps; Real-Time Protocol (RTP); video encoding; Huffman code chaotic maps; Real-Time Protocol (RTP); video encoding; Huffman code
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Almasalha, F.; Hasimoto-Beltran, R.; Khokhar, A.A. Partial Encryption of Entropy-Coded Video Compression Using Coupled Chaotic Maps. Entropy 2014, 16, 5575-5600.

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