Building a Maturity Framework for Big Data Cybersecurity Analytics

Author:

Pham Chi Minh1

Affiliation:

1. Deakin University, Australia

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.

Publisher

IGI Global

Reference41 articles.

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2. Canal, V. A. (2004). ISM3 1.0. Information security management maturity model. Retrieved from https://pdfs.semanticscholar.org/64ac/1e4585056babd78d978827bf35eae78b5ff6.pdf

3. Caralli, R. A., Allen, J. H., Curtis, P. D., White, D. W., & Young, L. R. (2010). CERT® resilience management model, version 1.0: Improving operational resilience processes (Technical report). Retrieved from http://www.sei.cmu.edu/reports/10tr012.pdf

4. How organisations leverage Big Data: a maturity model

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