Visual Security Assessment of Selective Video Encryption
| Autor: | Reda Abdellah Kamraoui, Sid Ahmed Fezza, Olivier Deforges, Wassim Hamidouche |
|---|---|
| Přispěvatelé: | Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-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), Institute of Chemical Technology [Prague] (ICT), 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), Université de Nantes (UN)-Université de Rennes 1 (UR1) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
HEVC
021110 strategic defence & security studies Ground truth business.industry Computer science 0211 other engineering and technologies 02 engineering and technology Security assessment Intelligibility (communication) Selective video encryption Encryption Computer security computer.software_genre visual security Scrambling [SPI]Engineering Sciences [physics] Security metric 0202 electrical engineering electronic engineering information engineering subjective test 020201 artificial intelligence & image processing Confidentiality scrambling business computer ComputingMilieux_MISCELLANEOUS |
| Zdroj: | 11th International Conference on Quality of Multimedia Experience (QoMEX) 11th International Conference on Quality of Multimedia Experience (QoMEX), Jun 2019, Berlin, Germany. ⟨10.1109/QoMEX.2019.8743284⟩ QoMEX |
| DOI: | 10.1109/QoMEX.2019.8743284⟩ |
| Popis: | Given the wide use of videos in various applications and across different devices, this raises the question of their security and confidentiality. In the last decade, many video encryption methods have been proposed in the literature. Accordingly, it becomes necessary to have a reliable assessment tool allowing evaluation of the efficiency of these video encryption methods, especially from the visual security point of view. Usually, the visual security is evaluated through the classical objective signal-based metrics. However, these metrics showed their limits as visual security metric, since they are not designed to deal with the security requirements, such as the determination of content intelligibility. Despite its obvious importance, very few visual security metrics have been proposed for the assessment of video encryption methods. This is mainly due to the lack of ground truth with subjective human scores for video encryption applications. In this paper, we present a new database for visual security assessment of selective video encryption. The database including unencrypted and encrypted video contents generated using different selective encryption schemes, as well as subjective scores, is publicly available to help designing new visual security metrics.1 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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