Privacy Protection in Real Time HEVC Standard Using Chaotic System

Autor: Safwan El Assad, Jarno Vanne, Olivier Deforges, Mohammed Abu Taha, Marko Viitanen, Naty Sidaty, Wassim Hamidouche
Přispěvatelé: Tampere University, Computing Sciences, Palestine Polytechnic University (PPU), 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), Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES), Tampere University of Technology [Tampere] (TUT), 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), Institut National des Sciences Appliquées (INSA)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Computer Networks and Communications
Computer science
chaotic system
Chaotic
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Access control
02 engineering and technology
Encryption
lcsh:Technology
[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]
Region of interest
0202 electrical engineering
electronic engineering
information engineering

Bitstream
Stream cipher
selective encryption
ComputingMilieux_MISCELLANEOUS
business.industry
lcsh:T
Applied Mathematics
213 Electronic
automation and communications engineering
electronics

020206 networking & telecommunications
Region of Interest (ROI)
Computer Science Applications
Computational Theory and Mathematics
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
020201 artificial intelligence & image processing
business
Software
Computer hardware
Reference frame
Coding (social sciences)
Zdroj: Cryptography
Cryptography, MDPI, 2020, 4 (2), pp.18. ⟨10.3390/cryptography4020018⟩
Cryptography, Vol 4, Iss 18, p 18 (2020)
Cryptography, 2020, 4 (2), pp.18. ⟨10.3390/cryptography4020018⟩
Volume 4
Issue 2
ISSN: 2410-387X
Popis: Video protection and access control have gathered steam over recent years. However, the most common methods encrypt the whole video bit stream as unique data without taking into account the structure of the compressed video. These full encryption solutions are time and power consuming and, thus, are not aligned with the real-time applications. In this paper, we propose a Selective Encryption (SE) solution for Region of Interest (ROI) security based on the tile concept in High Efficiency Video Coding (HEVC) standards and selective encryption of all sensitive parts in videos. The SE solution depends on a chaos-based stream cipher that encrypts a set of HEVC syntax elements normatively, that is, the bit stream can be decoded with a standard HEVC decoder, and a secret key is only required for ROI decryption. The proposed ROI encryption solution relies on the independent tile concept in HEVC that splits the video frame into independent rectangular areas. Tiles are used to pull out the ROI from the background and only the tiles figuring the ROI are encrypted. In inter coding, the independence of tiles is guaranteed by limiting the motion vectors of non-ROI to use only the unencrypted tiles in the reference frames. Experimental results have shown that the encryption solution performs secure video encryption in a real time context, with a diminutive bit rate and complexity overheads. publishedVersion
Databáze: OpenAIRE