Leveraging Artificial Intelligence Capabilities for Real-Time Monitoring of Cybersecurity Threats

Karie, Nickson M. and Bin Sahri, Nor Masri Bin and Yang, Wencheng ORCID: https://orcid.org/0000-0001-7800-2215 and Johnstone, Michael N. (2022) Leveraging Artificial Intelligence Capabilities for Real-Time Monitoring of Cybersecurity Threats. In: Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence. Studies in Computational Intelligence, 1025. Springer, Cham, Switzerland, pp. 141-169. ISBN 9783030966294


Abstract

The number of cybersecurity incidents perpetrated by adversaries using modern complex and emerging technologies is growing exponentially. To curb this threat, advanced countermeasures need to be developed and implemented to mitigate cybersecurity incidents and detect the activities of adversaries. Developing advanced, innovative, and effective countermeasures is a challenge when faced with a daily tide of cybersecurity threats and concomitant vulnerabilities which, in most cases, have significant consequences to organisations. Artificial Intelligence (AI), which has specific, established use-cases in the cybersecurity domain offers promising solutions. This chapter examines how AI can enhance the real-time monitoring of cybersecurity threats in different environments. As a result, different cybersecurity threats, as well as commonly exploited cybersecurity vulnerabilities, are described and discussed in this chapter. Following this, some current real-time cybersecurity monitoring tools are discussed. Finally, the chapter highlights the role of AI in real-time monitoring focusing on how Explainable Artificial Intelligence (XAI) can be used to enhance real-time monitoring of cybersecurity threats which has become a crucial component of modern-day security implementations.


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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Mathematics, Physics and Computing (1 Jan 2022 -)
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Mathematics, Physics and Computing (1 Jan 2022 -)
Date Deposited: 27 Sep 2022 05:38
Last Modified: 19 Oct 2022 05:36
Uncontrolled Keywords: Cyber security threats; Real-time monitoring; Artificial intelligence
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4609 Information systems > 460904 Information security management
Socio-Economic Objectives (2020): 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220405 Cybersecurity
Identification Number or DOI: https://doi.org/10.1007/978-3-030-96630-0_7
URI: http://eprints.usq.edu.au/id/eprint/51238

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