Cybersecurity in a Smart Business Environment: AI-Based Management Strategies
Keywords:
Artificial Intelligence, Cybersecurity, National Institute of Standards and Technology (NIST), Communications NetworksAbstract
The study aimed to identify the areas and most prominent applications of artificial intelligence used to improve cybersecurity, and to identify the challenges facing the application of artificial intelligence in cybersecurity. The research was based on reviewing and analyzing previous studies and research related to artificial intelligence technology and its role in enhancing cybersecurity. Data was collected by reviewing studies and research published in scientific journals, books, and official reports. The study concluded that artificial intelligence technologies contribute to improving the efficiency of cybersecurity strategies by predicting threats and responding quickly. The study revealed an urgent need to train and qualify human resources to understand and apply artificial intelligence technologies in the field of cybersecurity effectively. The study explained that there is a need to develop a legal and ethical framework that ensures the responsible and effective use of technology within institutions and organizations. The study recommended strengthening cyber infrastructure, training and qualifying human resources, and finally interacting with ethical and legal challenges.
References
Al-Amin, Dabbar Muhammad, and Jamaluddin, Babu. (2024). Implications of Artificial Intelligence on National Security.Journal of Private Law, 2(1), 100-122.
Hadawi, Amira Hatem, Muslim, Dhurgham Ali, and Muhammad, Safaa Tayeh. (2023). Digital leadership and its role in enhancing cybersecurity behavior in organizations - an analytical study of the opinions of a sample of employees in private banks in Najaf. Journal of Humanities and Natural Sciences, 5(1).
Dahmani, Mohammed. (2023). Artificial Intelligence as a Mechanism to Enhance Cybersecurity. Journal of Legal and Political Thought, 7(2), 597-608.
Darar, Khadija Mohammed. Ethics of Artificial Intelligence and Robotics: An Analytical Study. International Journal of Library and Information Science, 6(3), 237-271.
Al-Otaibi, Abdulrahman Bajad Sharea. (2020). The Role of Cybersecurity in Achieving Vision 2030 (Master’s Thesis). Naif Arab University for Security Sciences.
Mukhtar, Muhammad. (2023). Cybersecurity: Future Concepts, Event Trends Journal, (2), 6-7.
Research and Information Center. (2021). Artificial Intelligence. Saudi Arabia.https://www.abhacci.org.sa/ar/Centers/ResearchCenter/EServices/SouthBulletins/Documents/%D8% pdf
Al-Masry, Farah Muhammad. (2024). The Role of Artificial Intelligence in Improving Cybersecurity. Elite Journal for Studies and Research, 3(2).
Dambe, S., Gochhait, S., & Ray, S. (2023, November). The Role of Artificial Intelligence in Enhancing Cybersecurity and Internal Audit. In 2023 3rd International Conference on Advancement in Electronics & Communication Engineering (AECE) (pp. 88-93). IEEE.
Zeadally, S., Adi, E., Baig, Z., & Khan, I. A. (2020). Harnessing artificial intelligence capabilities to improve cybersecurity. IEEE Access, 8, 23817-23837.
Alhayani, B., Mohammed, H. J., Chaloob, I. Z., & Ahmed, J. S. (2021). Effectiveness of artificial intelligence techniques against cyber security risks apply to the IT industry. Materials Today: Proceedings, 531(10.1016).
Tao, F., Akhtar, M. S., & Jiayuan, Z. (2021). The future of artificial intelligence in cybersecurity: A comprehensive survey. EAI Endorsed Transactions on Creative Technologies, 8(28), e3-e3.
Li, J. H. (2018). Cyber security meets artificial intelligence: a survey. Frontiers of Information Technology & Electronic Engineering, 19(12), 1462-1474.
Bhardwaj, A., Alshehri, M.D., Kaushik, K., Alyamani, H.J., & Kumar, M. (2022). (Retracted) Secure framework against cyber attacks on cyber-physical robotic systems. Journal of Electronic Imaging, 31(6), 061802-061802.
Chithaluru, P., Al-Turjman, F., Kumar, M., & Stephan, T. (2023). Computational-intelligence-inspired adaptive opportunistic clustering approach for industrial IoT networks. IEEE Internet of Things Journal, 10(9), 7884-7892.
Umezawa, Y., Umezawa, K., & Sato, H. (1995). Selectivity coefficients for ion-selective electrodes: Recommended methods for reporting KA, Bpot values (Technical Report). Pure and applied chemistry, 67(3), 507-518.
