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TRAIT: A Trusted Media Distribution Framework

Lookup NU author(s): Dr James Rainey, Dr Deepayan BhowmikORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

© 2023 IEEE. Trusted distribution and consumption of media content has become a challenging issue, especially with the advancement of machine learning-based techniques such as deep fake. To address such challenges, this paper proposes a new metadata schema which is embedded within a larger framework that facilitates trusted media distribution. This schema is realised through a distributed media blockchain core in conjunction with algorithms to detect media modifications. Such a framework is expected to improve trust in media consumption, ensuring media integrity, authenticity and provenance.

Publication metadata

Author(s): Rainey J, Elawady M, Abhayartne C, Bhowmik D

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 24th International Conference on Digital Signal Processing (DSP 2023)

Year of Conference: 2023

Online publication date: 05/07/2023

Acceptance date: 02/04/2018

Date deposited: 29/09/2023

ISSN: 2165-3577

Publisher: IEEE

URL: https://doi.org/10.1109/DSP58604.2023.10167909

DOI: 10.1109/DSP58604.2023.10167909

Library holdings: Search Newcastle University Library for this item

ISBN: 9798350339598

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