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Building a Maturity Framework for Big Data Cybersecurity Analytics

Building a Maturity Framework for Big Data Cybersecurity Analytics
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Author(s): Chi Minh Pham (Deakin University, Australia)
Copyright: 2019
Pages: 20
Source title: Applying Business Intelligence Initiatives in Healthcare and Organizational Settings
Source Author(s)/Editor(s): Shah J. Miah (The University of Newcastle, Australia)and William Yeoh (Deakin University, Australia)
DOI: 10.4018/978-1-5225-5718-0.ch009

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Abstract

In recent years, big data analytics has become widely applied in cybersecurity, leading to the novel approach of big data cybersecurity analytics. While some organizations have been adopting this new approach in tackling cybercrime, there are limited guidelines to which companies can refer. Therefore, the renowned maturity model concept, which offers a systematic approach for an organization to measure and improve its maturity level, is applied in this study. On the basis of a comprehensive literature review, this chapter proposes a maturity framework for big data cybersecurity analytics. This synthesized comprehensive maturity framework comprises seven dimensions across five stage levels—namely organization, human, infrastructure, data management, analytics application, governance, and security dimensions. Knowing which dimensions need to be improved and which pathway to follow ensures the successful implementation of big data cybersecurity analytics within organizations.

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