A Privacy-Enhanced Video Streaming Taxonomy (PEVIST)


Authors : Koffka Khan

Volume/Issue : Volume 8 - 2023, Issue 10 - October

Google Scholar : https://tinyurl.com/5n8x9nkh

Scribd : https://tinyurl.com/mrk6shpm

DOI : https://doi.org/10.5281/zenodo.10090752

Abstract : The Privacy-Enhanced Video Streaming Taxonomy (PEVIST) is a comprehensive framework that delineates the multifaceted roles and applications of homomorphic encryption in the domain of video streaming. This taxonomy serves as a structured guide to understanding how homomorphic encryption technologies can be leveraged to fortify the security, privacy, and efficiency of video streaming services. PEVIST offers a systematic classification of use cases, encompassing data privacy and confidentiality, secure video delivery, content analysis and processing, content recommendation, access control, watermarking, monetization, quality of service monitoring, resource efficiency, and adaptation to emerging technologies. It highlights the significance of homomorphic encryption in safeguarding user data, facilitating secure content delivery, and enabling advanced analytics while addressing the challenges related to performance, key management, and compatibility. PEVIST provides a valuable reference for stakeholders in the video streaming industry seeking to harness encryption-based solutions to protect the integrity and privacy of their content and user data.

Keywords : Privacy, Video Streaming, Homomorphic, Encryption.

The Privacy-Enhanced Video Streaming Taxonomy (PEVIST) is a comprehensive framework that delineates the multifaceted roles and applications of homomorphic encryption in the domain of video streaming. This taxonomy serves as a structured guide to understanding how homomorphic encryption technologies can be leveraged to fortify the security, privacy, and efficiency of video streaming services. PEVIST offers a systematic classification of use cases, encompassing data privacy and confidentiality, secure video delivery, content analysis and processing, content recommendation, access control, watermarking, monetization, quality of service monitoring, resource efficiency, and adaptation to emerging technologies. It highlights the significance of homomorphic encryption in safeguarding user data, facilitating secure content delivery, and enabling advanced analytics while addressing the challenges related to performance, key management, and compatibility. PEVIST provides a valuable reference for stakeholders in the video streaming industry seeking to harness encryption-based solutions to protect the integrity and privacy of their content and user data.

Keywords : Privacy, Video Streaming, Homomorphic, Encryption.

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