Future Impact of Artificial Itelligence on CyberSecurity

Authors

  • Liqa Balushi
  • Ojas Pandey
  • Jitendra Pandey Middle East College

Keywords:

Artificial Intelligence, Information Security, Industry 5.0

Abstract

The potential influence of artificial intelligence (AI) on cybersecurity is becoming increasingly relevant as AI advances and affects multiple sectors of society. The purpose of this research study is to provide insights into how AI technologies may alter the landscape of cyber protection and assault in the next years. The essay begins by examining the current state of cybersecurity and the challenges that organizations and individuals face when it comes to protecting their digital assets against sophisticated cyber-attacks. It emphasizes the limitations of current security measures and the need for novel approaches to resist growing attack techniques. The study delves into the various applications of artificial intelligence in cybersecurity, such as threat detection, vulnerability assessment and incident response. The ability of machine learning algorithms and deep learning models to evaluate vast amounts of data to spot trends, abnormalities, and potential cyber risks is being studied in research. It also explores the capabilities of AI-powered autonomous systems for real-time threat mitigation and adaptive protection mechanisms.

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References or Bibliography

Hildebrandt, M. (2018). Explainable AI and the Law. IEEE Security & Privacy, 16(3), 26-31.

Dhillon, G. (2020). Cybersecurity in the Age of Artificial Intelligence. IT Professio-nal, 22(6), 9-15.

Goodfellow, I., Shlens, J., & Szegedy, C. (2014). Explaining and Harnessing Adversarial Examples. arXiv preprint arXiv:1412.657.

Hildebrandt, M. (2018). Explainable AI and the Law. IEEE Security & Privacy, 16(3), 26-31.

Kolias, C., Kambourakis, G., Stavrou, A., & Gritzalis, D. (2017). Intrusion Detection in 802.11 Networks: Empirical Evaluation of Threats and a Public Dataset. Computers & Security, 68, 165-183.

Zarpelão, B. B., Miani, R. S., & Nascimento, A. C. (2020). Machine Learning Approaches for Intrusion Detection Systems: A Comprehensive Review. Journal of Network

Published

05-31-2023

How to Cite

Balushi, L. ., Pandey, O., & Pandey, J. (2023). Future Impact of Artificial Itelligence on CyberSecurity. Journal of Student Research. Retrieved from https://www.jsr.org/index.php/path/article/view/2238