Citation

Ali, Atif and Razzaque, Abdul and Munir, Usama and Shahid, Hina and Khattak, Furqan Wali and Rajpoot, Zain and Kamran, Muhammad and Farid, Zulqarnain (2024) AI-Driven Approaches to Cybersecurity: The Impact of Machine and Deep Learning. In: 2024 2nd International Conference on Cyber Resilience (ICCR), 26-28 February 2024, Dubai, United Arab Emirates.

Text AI-Driven Approaches to Cybersecurity_ The Impact of Machine and Deep Learning.pdf - Published Version Restricted to Repository staff only Download (257kB)

Abstract

Computer Security is constantly evolving and dynamic; today, applying Artificial Intelligence techniques becomes indispensable in treating and detecting threats to which organizations are exposed. Developing information and communications technologies requires cybersecurity mechanisms that guarantee confidentiality, integrity, availability of information, and the development of skills to detect and control new threats on time.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Machine Learning,security, cyberattacks, cybercriminals, SQL Injection
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Others
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	02 Jul 2024 01:24
Last Modified:	02 Jul 2024 01:24
URII:	http://shdl.mmu.edu.my/id/eprint/12538

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