Tamper-Proofing Video With Hierarchical Attention Autoencoder Hashing on Blockchain

【Author】 Bui, Tu; Cooper, Daniel; Collomosse, John; Bell, Mark; Green, Alex; Sheridan, John; Higgins, Jez; Das, Arindra; Keller, Jared Robert; Thereaux, Olivier

【Source】IEEE TRANSACTIONS ON MULTIMEDIA

【影响因子】8.182

【Abstract】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 hour-long 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.

【Keywords】Blockchain; Feature extraction; Visualization; Distributed ledger; Task analysis; Transcoding; Streaming media; Distributed Ledger Technology; content aware hashing; autoencoder; LSTM; attention network; content integrity; blockchain

【发表时间】2020 NOV

【收录时间】2022-01-02

【文献类型】

【主题类别】

--