Artificial Intelligence In Cyber Security: Rescue Or Challenge
Vol. 4 (2023), Articles
Vol. 4 (2023)

Artificial Intelligence In Cyber Security: Rescue Or Challenge

Articles
https://doi.org/10.37497/rev.artif.intell.education.v4i00.7
Published 2023-08-15
Parth Gulati
University of Petroleum & Energy Studies
https://orcid.org/0009-0001-2937-8117
Uma Gulati
Sri Guru Gobind Singh College of Commerce (SGGSCC), Delhi University
https://orcid.org/0000-0003-1920-2270
Hayri Uygun
Recep Tayyip Erdogan University Rize Turkey
https://orcid.org/0000-0002-3079-605X
Rashmi Gujrati
KC Group of Institutions Nawanshahr
https://orcid.org/0000-0002-1128-3742

Keywords

Artificial Intelligence
Cybersecurity
Machine Learning
Data Mining
Digital Transformation

How to Cite

Gulati, P., Gulati , U., Uygun, H., & Gujrati, R. (2023). Artificial Intelligence In Cyber Security: Rescue Or Challenge. Review of Artificial Intelligence in Education, 4(00), e07. https://doi.org/10.37497/rev.artif.intell.education.v4i00.7
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Abstract

Objective: The objective of this research paper is to explore the potential of artificial intelligence (AI) in enhancing and fortifying cybersecurity measures. In light of the increasing cyber threats and the limitations of traditional computer security systems, the paper aims to shed light on the concept of AI and its components. The central goal is to demonstrate how AI can be leveraged to improve cybersecurity, focusing on key areas such as machine learning, data mining, in-depth learning, and expert programs.

Method: This research paper utilizes a literature review approach to investigate the intersection of artificial intelligence and cybersecurity. It involves analyzing existing scholarly works and studies to understand the challenges posed by evolving cyber threats and the limitations of conventional security systems. The paper identifies various components of AI that have the potential to enhance cybersecurity measures and delineates their applicability in the digital landscape.

Results: The analysis of past literature emphasizes the growing significance of adopting artificial intelligence techniques to bolster cybersecurity practices. The results underscore the inadequacies of traditional security systems in predicting and countering the ever-evolving tactics of cyber attackers and terrorists. Through an examination of various AI components, including machine learning, data mining, in-depth learning, and expert programs, the paper demonstrates the potential benefits that these technologies can offer to the field of cybersecurity.

Conclusions: In conclusion, this research paper highlights the escalating threats to cybersecurity in the face of rapid technological advancement. The imperative of addressing these challenges through AI becomes evident as traditional security systems prove insufficient. By harnessing the power of artificial intelligence techniques such as machine learning, data mining, in-depth learning, and expert programs, institutions can significantly enhance their cybersecurity capabilities. The paper underscores the need for a paradigm shift towards AI-driven cybersecurity strategies to effectively predict, prevent, and counteract cyber threats in the digital age.

https://doi.org/10.37497/rev.artif.intell.education.v4i00.7

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