Utilization of AI in Cybersecurity Measurements and Control


Authors : Abdullah Khalid Alhubail

Volume/Issue : Volume 10 - 2025, Issue 5 - May


Google Scholar : https://tinyurl.com/37kshh7k

DOI : https://doi.org/10.38124/ijisrt/25may915

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Artificial Intelligence (AI) refers to computer systems that can execute tasks that typically require human intellect, such as learning, problem-solving, and decision-making. These systems can process and analyze vast amounts of data, recognize patterns, and make predictions or decisions based on that data. Some key characteristics of AI systems include Machine Learning, Problem-Solving, Decision-Making, Natural Language Processing, Autonomy. AI systems have numerous applications, including Self-Driving Cars, Healthcare, Education, Gaming. Overall, AI systems have the potential to revolutionize many aspects of our lives, from improving road safety to enhancing healthcare delivery.

References :

  1. Bostrom, N. (2017). Superintelligence: Paths, Dangers, Strategies. Oxford University Press.
  2. Chowdhury, S. M., & Rahman, S. (2020). Artificial Intelligence in Cybersecurity: A Review of Techniques and Applications. Journal of Cybersecurity, 16(3), 215-230.
  3. Li, X., & Liu, Y. (2021). AI for Cybersecurity: Emerging Techniques and Trends. Journal of Information Security, 9(2), 145-160.
  4. Zhang, L., & Wang, X. (2019). Artificial Intelligence in Network Security: A Review and Future Directions. International Journal of Computer Science and Network Security, 19(7), 29-42.
  5. Xie, Y., & Zhang, Y. (2021). Adversarial Attacks on AI in Cybersecurity: Risks and Mitigation. Proceedings of the IEEE International Conference on Cybersecurity, 4(1), 67-79.

Artificial Intelligence (AI) refers to computer systems that can execute tasks that typically require human intellect, such as learning, problem-solving, and decision-making. These systems can process and analyze vast amounts of data, recognize patterns, and make predictions or decisions based on that data. Some key characteristics of AI systems include Machine Learning, Problem-Solving, Decision-Making, Natural Language Processing, Autonomy. AI systems have numerous applications, including Self-Driving Cars, Healthcare, Education, Gaming. Overall, AI systems have the potential to revolutionize many aspects of our lives, from improving road safety to enhancing healthcare delivery.

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