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Tamper-proofing Video with Hierarchical Attention Autoencoder Hashing on Blockchain

Bui, Tu, Cooper, Daniel, Collomosse, John, Bell, Mark, Green, Alex, Sheridan, John, Higgins, Jez, Das, Arindra, Keller, Jared Robert and Thereaux, Olivier (2020) Tamper-proofing Video with Hierarchical Attention Autoencoder Hashing on Blockchain IEEE Transactions on Multimedia.

Bui-TMM-2020.pdf - Accepted version Manuscript

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We present ARCHANGEL; a novel distributed ledger based system for assuring the long-term integrity of digital video archives. First, we introduce a novel deep network architecture using a hierarchical attention autoencoder (HAAE) to compute temporal content hashes (TCHs) from minutes or hourlong audio-visual streams. Our TCHs are sensitive to accidental or malicious content modification (tampering). The focus of our self-supervised HAAE is to guard against content modification such as frame truncation or corruption but ensure invariance against format shift (i.e. codec change). This is necessary due to the curatorial requirement for archives to format shift video over time to ensure future accessibility. Second, we describe how the TCHs (and the models used to derive them) are secured via a proof-of-authority blockchain distributed across multiple independent archives.We report on the efficacy of ARCHANGEL within the context of a trial deployment in which the national government archives of the United Kingdom, United States of America, Estonia, Australia and Norway participated.

Item Type: Article
Divisions : Surrey research (other units)
Authors :
Bell, Mark
Green, Alex
Sheridan, John
Higgins, Jez
Das, Arindra
Keller, Jared Robert
Thereaux, Olivier
Date : 13 January 2020
DOI : 10.1109/TMM.2020.2967640
Depositing User : James Marshall
Date Deposited : 30 Jan 2020 11:58
Last Modified : 07 Oct 2020 12:55

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