Towards Big Data Governance in Cybersecurity

Yang, Longzhi, Li, Jie, Elisa, Noe, Prickett, Tom and Chao, Fei (2019) Towards Big Data Governance in Cybersecurity. Data-Enabled Discovery and Applications, 3. p. 10. ISSN 2510-1161

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Official URL: https://doi.org/10.1007/s41688-019-0034-9

Abstract

Big data refers to large complex structured or unstructured data sets. Big data technologies enable organisations to generate, collect, manage, analyse, and visualise big data sets, and provide insights to inform diagnosis, prediction, or other decision-making tasks. One of the critical concerns in handling big data is the adoption of appropriate big data governance frame- works to: 1) curate big data in a required manner to support quality data access for effective machine learning, and 2) ensure the framework regulates the storage and processing of the data from providers and users in a trustworthy way within the related regulatory frame- works (both legally and ethically). This paper proposes a framework of big data governance that guides organisations to make better data-informed business decisions within the related regularity framework, with close attention paid to data security, privacy and accessibility. In order to demonstrate this process, the work also presents an example implementation of the framework based on the case study of big data governance in cyber- security. This framework has the potential to guide the management of big data in different organisations for information sharing and cooperative decision-making.

Item Type: Article
Uncontrolled Keywords: Big data governance, Cybersecurity, Data quality management, Arti cial intelligence, data analysis
Subjects: G400 Computer Science
G500 Information Systems
G600 Software Engineering
G700 Artificial Intelligence
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Elena Carlaw
Date Deposited: 07 Nov 2019 10:02
Last Modified: 10 Jan 2020 16:30
URI: http://nrl.northumbria.ac.uk/id/eprint/41390

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