Work place: Electrical and Computer Engineering, King Abdul Aziz University, Saudi Arabia
E-mail: mhassan0073@stu.kau.edu.sa
Website: https://orcid.org/0009-0003-5213-4019
Research Interests:
Biography
Mahmoud Mohamed is a PhD student in the faculty of Computer and Electrical Engineering at King Abdul Aziz University. He received his Bachelor's degree in Computer and Electrical Engineering from King Abdul Aziz University in 2020. His research interests include artificial intelligence, machine learning, and computer vision. He has published several papers in peer-reviewed journals and conferences.
By Mahmoud Mohamed Khaled Alosman
DOI: https://doi.org/10.5815/ijeme.2025.01.04, Pub. Date: 8 Feb. 2025
The increase in value of security and privacy is compounded by the rapid advancements in the digital landscape sprouting new problems in information security. This research explores the use of artificial intelligence (AI) to enhance cybersecurity and to strengthen data protection. This research aims to first assess and critically evaluate the potential of applying AI methods to improve predicting, mitigating, and resolving cyber threats while addressing important ethical issues. Specifically, it wants to determine AI’s advantages compared to traditional cybersecurity ways and the plausible technological risks and ethical implications associated with its use. We show that AI tools, especially machine learning and deep learning, can greatly aid the threat detection and response automation. The rise of AI, however, brings forth new vulnerabilities and necessitates stronger ethical frameworks to preclude their misuse. This study offers a balanced view of potential with AI and hazards. The results emphasize the importance of AI in securing both the cybersecurity and data protection portfolio, and urge strongly for ethical standards to be met and the research to be continued in order to mitigate risks and promote responsible AI integration.
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