Conference Paper (published)

The multimedia blockchain: A distributed and tamper-proof media transaction framework

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Citation

Bhowmik D & Feng T (2017) The multimedia blockchain: A distributed and tamper-proof media transaction framework. In: 2017 22nd International Conference on Digital Signal Processing (DSP). 22nd International Conference on Digital Signal Processing (DSP), 23.08.2017-25.08.2017. London: IEEE. https://doi.org/10.1109/icdsp.2017.8096051

Abstract
A distributed and tamper proof media transaction framework is proposed based on the blockchain model. Current multimedia distribution does not preserve self-retrievable information of transaction trails or content modification histories. For example, digital copies of valuable artworks, creative media and entertainment contents are distributed for various purposes including exhibitions, gallery collections or in media production workflow. Original media is often edited for creative content preparation or tampered with to fabricate false propaganda over social media. However there is no existing trusted mechanism that can easily retrieve either the transaction trails or the modification histories. We propose a novel watermarking based Multimedia Blockchain framework that can address such issues. The unique watermark information contains two pieces of information: a) a cryptographic hash that contains transaction histories (blockchain transactions log) and b) an image hash that preserves retrievable original media content. Once the watermark is extracted, first part of the watermark is passed to a distributed ledger to retrieve the historical transaction trail and the latter part is used to identify the edited / tampered regions. The paper outlines the requirements, the challenges and demonstrates the proof of this concept.

Keywords
Watermarking; Media; Multimedia communication; Image reconstruction; History; Authentication; Streaming media

StatusPublished
FundersEngineering and Physical Sciences Research Council
Publication date07/11/2017
Publication date online07/11/2017
URLhttp://hdl.handle.net/1893/27519
PublisherIEEE
Place of publicationLondon
ISSN of series2165-3577
ISBN9781538618950
Conference22nd International Conference on Digital Signal Processing (DSP)
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