An Architecture to Facilitate Security Assurance and Legal Compliance for Call Auditing in the Wholesale Electricity Market

Tesfamicael, Aklilu Daniel; Liu, Vicky; McKague, Matthew; Caelli, William

doi:10.1109/access.2021.3122518

Cited by 2 publications

(1 citation statement)

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“…The system allows an ease for future telephone call audits that simultaneously represent the higher level of security and integrity of the metadata. The system assists the auditing process not just for the security and business requirements, but also to fulfil the legal requirements as stipulated by the Australian National Electricity Rules [15]. The metadata was used for the verification of the integrity of the telephone call recordings stored in the blockchain.…”

Section: Proposed Work Solutions and Applicationsmentioning

confidence: 99%

Literature Review on Metadata Governance

Kaur¹,

Usama²,

Wong

et al. 2023

OIJI

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The framework of metadata governance is a subset of the primary data governance framework implementation within an enterprise. Metadata management helps identify data provenance and destination systems, explain the categories of data in the system, and assist organisations in comprehending the elucidation of data in various structures. This study aims to construct a literature review on metadata governance including the overview, the definition and proposed work based on previous study in different industries related with metadata governance. According to DAMA-DMBOKv2, five activities are required to establish metadata management which are designing metadata strategy, understanding metadata needs, defining metadata architecture, producing and managing metadata, and querying, reporting, and analysing metadata. Three planning procedures for metadata management includes developing metadata strategy activities, identifying metadata needs, and designing metadata architecture. The metadata management industry would benefit from a comprehensive and effective data stewardship framework to maximise company economic value. An enterprise requires a metadata governance framework, which includes an assessment of metadata responsibilities, life cycles, and statistics, as well as how various business activities incorporate metadata. A metadata strategy guarantees that an organisation's whole data ecology is consistent.

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Section: Proposed Work Solutions and Applicationsmentioning

confidence: 99%