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Blind Brother: Attribute-Based Selective Video Encryption
Tampere University, Tampere, Finland.
Tampere University, Tampere, Finland.
Tampere University, Tampere, Finland.
RISE Research Institutes of Sweden. Tampere University, Tampere, Finland; University of Westminster, United Kingdom.
2025 (English)In: CODASPY - Proc. ACM Conf. Data Appl. Secu. Priv., Association for Computing Machinery, Inc , 2025, p. 371-382Conference paper, Published paper (Refereed)
Abstract [en]

The emergence of video streams as a primary medium for communication and the demand for high-quality video sharing over the internet have given rise to several security and privacy issues, such as unauthorized access and data breaches. To address these limitations, various Selective Video Encryption (SVE) schemes have been proposed, which encrypt specific portions of a video while leaving others unencrypted. The SVE approach balances security and usability, granting unauthorized users access to certain parts while encrypting sensitive content. However, existing SVE schemes adopt an all-or-nothing coarse-grain encryption approach, where a user with a decryption key can access all the contents of a given video stream. This paper proposes and designs a fine-grained access control-based selective video encryption scheme, ABSVE, and a use-case protocol called Blind Brother. Our scheme encrypts different identified Regions of Interest (ROI) with a unique symmetric key and applies a Ciphertext Policy Attribute Based Encryption (CP-ABE) scheme to tie these keys to specific access policies. This method provides multiple access levels for a single encrypted video stream. Crucially, we provide a formal syntax and security definitions for ABSVE, allowing for rigorous security analysis of this and similar schemes - which is absent in prior works. Finally, we provide an implementation and evaluation of our protocol in the Kvazaar HEVC encoder. Overall, our constructions enhance security and privacy while allowing controlled access to video content and achieve comparable efficiency to compression without encryption.

Place, publisher, year, edition, pages
Association for Computing Machinery, Inc , 2025. p. 371-382
Keywords [en]
access control, attribute-based encryption, HEVC, selective video encryption, Ciphertext, Cryptography, Data privacy, Data Sharing, Network security, Video analysis, Video recording, Video streaming, Attribute-based, Attribute-based encryptions, Encryption schemes, High-quality videos, Security and privacy issues, Unauthorized access, Video encryption, Video sharing
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:ri:diva-79445DOI: 10.1145/3714393.3726518Scopus ID: 2-s2.0-105011350979OAI: oai:DiVA.org:ri-79445DiVA, id: diva2:2018348
Conference
CODASPY 2025 - Proceedings of the 15th ACM Conference on Data and Application Security and Privacy
Note

Conference paper; Granskad

Available from: 2025-12-02 Created: 2025-12-02 Last updated: 2025-12-03Bibliographically approved

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