Title

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

Document Type

Book Chapter

Publication Title

Studies in Computational Intelligence

Volume

1025

First Page

141

Last Page

169

Publisher

Springer

School

ECU Security Research Institute / School of Science

Comments

Karie, N. M., Sahri, N. M. B., Yang, W., & Johnstone, M. N. (2022). Leveraging Artificial Intelligence Capabilities for Real-Time Monitoring of Cybersecurity Threats. In Explainable Artificial Intelligence for Cyber Security (pp. 141-169). Springer, Cham. https://doi.org/10.1007/978-3-030-96630-0_7

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.

DOI

10.1007/978-3-030-96630-0_7

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