A Thorough Examination of the Importance of Machine Learning and Deep Learning Methodologies in the Realm of Cybersecurity: An Exhaustive Analysis
by Ramsha Khalid 1, 2 
, Muhammad Naqi Raza 1
1 Electrical Engineering Technology, University of Sialkot, Sialkot, 51310, Pakistan
2 Electrical Engineering, University of Lahore, Lahore, 53720, Pakistan
* Author to whom correspondence should be addressed.
Journal of Engineering Research and Sciences, Volume 3, Issue 7, Page # 11-22, 2024; DOI: 10.55708/js0307002
Keywords: Cybersecurity, Cyber attackers, Artificial intelligence, Machine learning, Deep learning, Communication systems, Unauthorized entry
Received: 10 May, 2024, Revised: 17 June, 2024, Accepted: 18 June, 2024, Published Online: 13 July, 2024
APA Style
Khalid, R., & Raza, M. N. (2024). A thorough examination of the importance of machine learning and deep learning methodologies in the realm of cybersecurity: An exhaustive analysis. Journal of Engineering Research and Sciences, 3(7), 11-22. https://doi.org/10.55708/js0307002
Chicago/Turabian Style
Khalid, Ramsha, and Muhammad Naqi Raza. “A Thorough Examination of the Importance of Machine Learning and Deep Learning Methodologies in the Realm of Cybersecurity: An Exhaustive Analysis.” Journal of Engineering Research and Sciences 3, no. 7 (2024): 11-22. https://doi.org/10.55708/js0307002.
IEEE Style
Khalid and M. N. Raza, “A Thorough Examination of the Importance of Machine Learning and Deep Learning Methodologies in the Realm of Cybersecurity: An Exhaustive Analysis,” Journal of Engineering Research and Sciences, vol. 3, no. 7, pp. 11-22, 2024, doi: 10.55708/js0307002.
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Abstract
In today’s digital age, individuals extensively engage with virtual environments hosting a plethora of public and private services alongside social platforms. As a consequence, safeguarding these environments from potential cyber threats such as data breaches and system disruptions becomes paramount. Cybersecurity encompasses a suite of technical, organizational, and managerial measures aimed at thwarting unauthorized access or misuse of electronic information and communication systems. Its objectives include ensuring operational continuity, safeguarding the confidentiality and integrity of sensitive data, and shielding consumers from various forms of cyber intrusions. This paper delves into the realm of cybersecurity practices devised to fortify computer systems against diverse threats including hacking and data breaches. It examines the pivotal role of artificial intelligence within this domain, offering insights into the utilization of machine learning and deep learning techniques. Moreover, it synthesizes key findings from relevant literature exploring the efficacy and impact of these advanced methodologies in cybersecurity. Findings underscore the substantial contributions of machine learning and deep learning techniques in fortifying computer systems against unauthorized access and mitigating the risks posed by malicious software. These methodologies facilitate proactive measures by predicting and comprehending the behavioral patterns and traffic associated with potential cyber threats.
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