Navigating the Digital Battlefield: AI's Impact and Challenges in Cybersecurity
International Journal of Computer Science and Engineering |
© 2024 by SSRG - IJCSE Journal |
Volume 11 Issue 6 |
Year of Publication : 2024 |
Authors : Alina Raheen, Sharmasth Vali Yerur, Mohammed Rehan |
How to Cite?
Alina Raheen, Sharmasth Vali Yerur, Mohammed Rehan, "Navigating the Digital Battlefield: AI's Impact and Challenges in Cybersecurity," SSRG International Journal of Computer Science and Engineering , vol. 11, no. 6, pp. 61-67, 2024. Crossref, https://doi.org/10.14445/23488387/IJCSE-V11I6P109
Abstract:
The impact of artificial intelligence on product and service development across various sectors, including businesses and organizations, is transformative. Extensive studies have demonstrated the versatility of AI technology in improving numerous aspects of daily life, leading to its widespread adoption across industries. With countless applications, AI integration has become indispensable, particularly in enhancing security measures and mitigating risks amid the escalating frequency and sophistication of cyberattacks. This paper provides a comprehensive review of existing literature on the diverse applications of AI in cybersecurity, spanning from malware analysis and threat detection to access control and authentication mechanisms. The field of cybersecurity has expanded as a result of efforts to safeguard the information that is now available, and AI is thought to have a significant impact on cybersecurity overall. Machine learning has been heavily influenced by this factor in contemporary cybersecurity-supporting technologies. In addition to reviewing the literature, the study report looks at artificial intelligence's overall effects and challenges in cybersecurity.
Keywords:
Cybersecurity, AI, Malware, Cyber attack, Data privacy.
References:
[1] Ramanpreet Kaur, Dušan Gabrijelčič, and Tomaž Klobučar, “Artificial Intelligence for Cybersecurity: Literature Review and Future Research Directions,” Information Fusion, vol. 97, pp. 1-29, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Meraj Farheen Ansari et al., “The Impact and Limitations of Artificial Intelligence in Cybersecurity: A Literature Review,” International Journal of Advanced Research in Computer and Communication Engineering, vol. 11, no. 9, pp. 81-90, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Vishal Dineshkumar Soni, “Challenges and Solution for Artificial Intelligence in Cybersecurity of the USA,” Social Science Research Network, pp. 1-17, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Ishaq Azhar Mohammed, “Artificial Intelligence for Cybersecurity: A Systematic Mapping of Literature,” International Journal of Innovations in Engineering Research and Technology, vol. 7, no. 9, pp. 172-176, 2020.
[Google Scholar] [Publisher Link]
[5] Feng Tao, Muhammad Shoaib Akhtar, and Zhang Jiayuan, “The Future of Artificial Intelligence in Cybersecurity: A Comprehensive Survey,” EAI Endorsed Transactions on Creative Technologies, vol. 8, no. 28, pp. 1-15, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Yupeng Hu et al., “Artificial Intelligence Security: Threats and Countermeasures,” ACM Computing Surveys, vol. 55, no. 1, pp. 1-36, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Jian-hua Li, “Cyber Security Meets Artificial Intelligence: A Survey,” Frontiers of Information Technology and Electronic Engineering, vol. 19, no. 12, pp. 1462-1474, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Roman V. Yampolskiy, Artificial intelligence safety and security, CRC Press, pp. 1-474, 2018. [Online]. Available: https://www.routledge.com/Artificial-Intelligence-Safety-and-Security/Yampolskiy/p/book/9780815369820
[9] Hui Wu et al., “Research on Artificial Intelligence Enhancing Internet of Things Security: A Survey,” IEEE Access, vol. 8, pp. 153826- 153848, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Arif Ali Mughal, “Artificial Intelligence in Information Security: Exploring the Advantages, Challenges, and Future Directions,” Journal of Artificial Intelligence and Machine Learning in Management, vol. 2, no. 1, pp. 22-34, 2018.
[Google Scholar] [Publisher Link]
[11] Saad Khan, and Simon Parkinson, “Review into State of the Art of Vulnerability Assessment Using Artificial Intelligence,” Guide to Vulnerability Analysis for Computer Networks and Systems, pp. 3-32, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Steve Kommrusch, “Artificial Intelligence Techniques for Security Vulnerability Prevention,” Arxiv Preprint, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Roman V. Yampolskiy, and M. S. Spellchecker, “Artificial Intelligence Safety and Cybersecurity: A Timeline of AI Failures,” Arxiv Preprint, 2016.
[CrossRef] [Google Scholar] [Publisher Link]