Leveraging Artificial Intelligence Capabilities for Real-Time Monitoring of Cybersecurity Threats
Edited book (chapter)
Karie, Nickson M., Bin Sahri, Nor Masri Bin, Yang, Wencheng and Johnstone, Michael N.. 2022. "Leveraging Artificial Intelligence Capabilities for Real-Time Monitoring of Cybersecurity Threats." Ahmed, Mohiuddin, Islam, Sheikh Rabiul, Anwar, Adnan, Moustafa, Nour and Pathan, Al-Sakib Khan (ed.) Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence. Cham, Switzerland. Springer. pp. 141-169
| Chapter Title | Leveraging Artificial Intelligence Capabilities for Real-Time Monitoring of Cybersecurity Threats |
|---|---|
| Book Chapter Category | Edited book (chapter) |
| ERA Publisher ID | 3337 |
| Book Title | Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence |
| Authors | Karie, Nickson M. (Author), Bin Sahri, Nor Masri Bin (Author), Yang, Wencheng (Author) and Johnstone, Michael N. (Author) |
| Editors | Ahmed, Mohiuddin, Islam, Sheikh Rabiul, Anwar, Adnan, Moustafa, Nour and Pathan, Al-Sakib Khan |
| Volume | 1025 |
| Page Range | 141-169 |
| Series | Studies in Computational Intelligence |
| Chapter Number | 7 |
| Number of Pages | 29 |
| Year | 2022 |
| Publisher | Springer |
| Place of Publication | Cham, Switzerland |
| ISBN | 9783030966294 |
| 9783030966300 | |
| ISSN | 1860-949X |
| 1860-9503 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-030-96630-0_7 |
| Web Address (URL) | https://link.springer.com/chapter/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. |
| Keywords | Cyber security threats; Real-time monitoring; Artificial intelligence |
| ANZSRC Field of Research 2020 | 460904. Information security management |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | Edith Cowan University |
| Journal Title | Studies in Computational Intelligence |
| Institution of Origin | University of Southern Queensland |
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