Building a Maturity Framework for Big Data Cybersecurity Analytics

Building a Maturity Framework for Big Data Cybersecurity Analytics

Chi Minh Pham
DOI: 10.4018/978-1-5225-5718-0.ch009
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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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Background And Literature Review

The objective of this research was to develop a framework that guides organizations to reach maturity in their big data analytics platform for cybersecurity purposes. Figure 1 shows the three components of the research—big data analytics, cybersecurity, and maturity model.

Figure 1.

Research components and relationships


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