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

Autor: Safwan El Assad, Olivier Deforges, Wassim Hamidouche, Mousa Farajallah, Naty Sidaty
Přispěvatelé: Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Palestine Polytechnic University (PPU), This work is supported by the European Celtic-Plus project 4KREPROSYS-4K ultraHD TV wireless REmote PROduction SYStems (decision number 301820 Project-ID: CPP2013/1-1), 2015–2017., Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
HEVC
chaotic generator
subjective quality assessment
Computer science
Real-time computing
02 engineering and technology
Selective video encryption
Encryption
[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
0202 electrical engineering
electronic engineering
information engineering
Electrical and Electronic Engineering
Bitstream
Security level
scalable HEVC
joint crypto-compression solution
business.industry
Constant bitrate
[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]
perceptual security
020206 networking & telecommunications
Signal Processing
Scalability
020201 artificial intelligence & image processing
Computer Vision and Pattern Recognition
business
Software
Context-adaptive binary arithmetic coding
Computer hardware
Decoding methods
Coding (social sciences)
Zdroj: Signal Processing: Image Communication
Signal Processing: Image Communication, Elsevier, 2017, 58, pp.73-86. ⟨10.1016/j.image.2017.06.007⟩
Signal Processing: Image Communication, 2017, 58, pp.73-86. ⟨10.1016/j.image.2017.06.007⟩
ISSN: 0923-5965
1879-2677
DOI: 10.1016/j.image.2017.06.007⟩
Popis: International audience; In this paper we propose a real-time selective video encryption solution in the scalable extension of High Effciency Video Coding(HEVC) standard, referred to as SHVC. The proposed scheme encrypts a set of sensitive SHVC parameters with a minimum delayand complexity overheads. The encryption process is performed at the CABAC binstring level and fulfils both constant bitrate andformat compliant video encryption requirements. In addition, it preserves all SHVC functionalities, including bitstream extractionfor 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 isassessed over different video encryption criteria, at different scalability configurations and various High Definition (HD) videosequences. Experimental results showed that encrypt only the lowest layer or all layers enables a high security level, while encryptingonly the highest layer leads to a perceptual encryption solution, by slightly decreasing the highest layer quality. Moreover, theprocessing complexity of the proposed solution is assessed in the context of a real-time SHVC decoder. The complexity overheadremains low and does not exceed 6% of the real-time decoding of SHVC video sequences.
Databáze: OpenAIRE
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