Analysis of Cyber-Intelligence Frameworks for AI Data Processing

Author:

Sánchez del Monte Alberto1,Hernández-Álvarez Luis2ORCID

Affiliation:

1. Doctoral School “Studii Salamantini”, Computer Engineering, University of Salamanca, 37008 Salamanca, Spain

2. Institute for Physical and Information Technologies (ITEFI), Spanish National Research Council (CSIC), 28006 Madrid, Spain

Abstract

This paper deals with the concept of cyber intelligence and its components as a fundamental tool for the protection of information today. After that, the main cyber-intelligence frameworks that are currently applied worldwide (Diamond Model, Cyberkill Chain, and Mitre Att&ck) are described to subsequently analyse them through their practical application in a real critical cyber incident, as well as analyse the strengths and weaknesses of each one of them according to the comparison of seventeen variables of interest. From this analysis and considering the two actions mentioned, it is concluded that Mitre Att&ck is the most suitable framework due to its flexibility, permanent updating, and the existence of a powerful database. Finally, an explanation is given for how Mitre Att&ck can be integrated with the research and application of artificial intelligence in the achievement of the objectives set and the development of tools that can serve as support for the detection of the patterns and authorship of cyberattacks.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference54 articles.

1. Guest Editorial: AI and Machine Learning Solution Cyber Intelligence Technologies: New Methodologies and Applications;Yan;IEEE Trans. Ind. Inform.,2020

2. Kemmerer, R.A. (2003, January 3–10). Cybersecurity. Proceedings of the 25th International Conference on Software Engineering, Portland, OR, USA.

3. A comparative study of cyberattacks;Kim;Commun. ACM,2012

4. Ludwick, M., McAllister, J., Mellinger, A.O., Sereno, K.A., and Townsend, T. (2013). Cyber Intelligence Tradecraft Project: Summary of Key Findings, Software Engineering Institute. Available online: https://resources.sei.cmu.edu/library/asset-view.cfm?assetid=40201.

5. Distributed Security Framework for Reliable Threat Intelligence Sharing;Preuveneers;Secur. Commun. Netw.,2020

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