Northampton Electronic Collection of Theses and Research

Artificial Intelligence Techniques in Cybersecurity Management

Dapel, M., Asante, M., Uba, C. D. and Opoku Agyeman, M. (2022) Artificial Intelligence Techniques in Cybersecurity Management. Advanced Sciences and Technologies for Security Applications. 1613-5113. (In Press)

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Dapel_etal_Springer_2022_Artificial_Intelligence_Techniques_in_Cybersecurity_Management.pdf - Accepted Version
Information
Abstract:
The rapid development in internet services led to a significant increase in cyberattacks. The need to secure systems and operations has become appar-ent as cybersecurity has become a national concern. Cybersecurity involves techniques that protect and control systems, networks, hardware, software, and electronic data from unauthorised access. Developing an effective and innovative defensive mechanism is an urgent requirement as traditional cy-bersecurity solutions are becoming inadequate in safeguarding information against cyber threats. There is a need for cybersecurity methods that are ca-pable of making real-time decisions and respond to cyberattacks. To sup-port this, researchers are focusing on approaches like Artificial Intelligence (AI) to improve cyber defence. This study provides an overview of existing research on cybersecurity using AI technologies. AI technologies made a remarkable contribution in combating cybercrimes with significant im-provement in anomaly intrusion detection.
Uncontrolled Keywords:
artificial intelligence, AI, AI for Business, cybersecurity, Management
Creators:
Dapel, M., Asante, M., Uba, C. D. and Opoku Agyeman, M.
Faculties, Divisions and Institutes:
Faculties > Faculty of Arts, Science & Technology > Computing
Faculties > Faculty of Arts, Science & Technology
Faculties > Faculty of Business & Law > International Strategy & Business
Faculties > Faculty of Business & Law
Date:
26 July 2022
Date Type:
Acceptance
Journal or Publication Title:
Advanced Sciences and Technologies for Security Applications
Language:
English
ISSN:
1613-5113
Status:
In Press
Refereed:
Yes
Related URLs:
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