Real-Time Selective Video Encryption based on the Chaos System in Scalable HEVC Extension

Abstract : In this paper we propose a real-time selective video encryption solution in the scalable extension of High Eciency Video Coding (HEVC) standard, referred to as SHVC. The proposed scheme encrypts a set of sensitive SHVC parameters with a minimum delay and complexity overheads. The encryption process is performed at the CABAC binstring level and fulfils both constant bitrate and format compliant video encryption requirements. In addition, it preserves all SHVC functionalities, including bitstream extraction for mid-network adaptation and error resilience. We compare the performance of three selective SHVC encryption schemes: the first scheme encrypts only the lowest SHVC layer, the second encrypts all layers and the last scheme encrypts only the highest layer. The performance of the proposed schemes is assessed over di erent video encryption criteria, at di erent scalability configurations and various High Definition (HD) video sequences. Experimental results showed that encrypt only the lowest layer or all layers enables a high security level, while encrypting only the highest layer leads to a perceptual encryption solution, by slightly decreasing the highest layer quality. Moreover, the processing complexity of the proposed solution is assessed in the context of a real-time SHVC decoder. The complexity overhead remains low and does not exceed 6% of the real-time decoding of SHVC video sequences.
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Article dans une revue
Signal Processing: Image Communication, Elsevier, 2017
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https://hal.archives-ouvertes.fr/hal-01547038
Contributeur : Wassim Hamidouche <>
Soumis le : lundi 26 juin 2017 - 11:55:53
Dernière modification le : mercredi 28 juin 2017 - 01:10:23

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  • HAL Id : hal-01547038, version 1

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Wassim Hamidouche, Mousa Farajallah, Naty Ould-Sidaty, Safwan El Assad, Olivier Déforges. Real-Time Selective Video Encryption based on the Chaos System in Scalable HEVC Extension. Signal Processing: Image Communication, Elsevier, 2017. 〈hal-01547038〉

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