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Published Paper Details:
Machine Learning in Cybersecurity: Harnessing AI for Defense
Authors
Anwar Hossain,Roise Uddin,Abdus Sobur,Biswajit Chandra Das
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Keywords
Increasing Artificial Intelligent, Protection for Cybersecurity, Enhancing AI, AI and ML
Abstract
The escalating cost of cyberattacks demands a paradigm shift in cybersecurity strategies used by organizations. Traditional methods, often reactive and data-limited, struggle to keep up with the ever-growing sophistication of cyber threats and the vast volumes of data organizations produce. That's why the use of cutting-edge technologies such as Artificial Intelligence (AI) and Machine Learning (ML) if crucial to preventing cyberattacks in this day and age.
By leveraging AI and ML, organizations can analyze massive datasets in real-time, identifying subtle patterns and anomalies indicative of imminent attacks. This proactive approach shifts the focus from simply reacting to breaches to predicting and preventing them altogether. AI and ML also enable the automation of time-consuming tasks, which gives security teams more time to focus on strategic initiatives and tasks that require critical thinking. AI and ML algorithms also go beyond detecting known threats as they can effectively detect and combat the newest malware variants.
Despite the many benefits of integrating AI into security tools, security teams need to carefully consider its ethical and technical challenges. Addressing these challenges requires adopting practices such as using diverse and high-quality data for effective training and ensuring the interpretability of complex models. Additionally, navigating the legal and ethical landscape surrounding data privacy and governance regulations is essential.
The use of AI and ML in cybersecurity is even more critical today as we are now in the era of generative AI, which enables attackers to create more realistic phishing attacks [6]. Organizations need to devise ways to counter such attacks by using AI more effectively and aggressively than the attackers [6].
The purpose of this paper is to explore how organizations can harness the power of AI and ML to enhance their cybersecurity defenses. We aim to provide a comprehensive overview of how these advanced technologies can be utilized to fortify cyber defenses, analyze their strengths and weaknesses, and the best practices to get the best out of them.
IJCRT's Publication Details
Unique Identification Number - IJCRT2403378
Paper ID - 252813
Author type - Foreign Author
Page Number(s) - d146-d153
Pubished in - Volume 12 | Issue 3 | March 2024
DOI (Digital Object Identifier) - http://doi.one/10.1729/Journal.38362
No Of Downloads - 35
Author Country - United States of America, 90057, Los Angeles, Los Angeles, 90057, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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Anwar Hossain,Roise Uddin,Abdus Sobur,Biswajit Chandra Das, "Machine Learning in Cybersecurity: Harnessing AI for Defense", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 3, pp.d146-d153, March 2024, Available at :http://www.ijcrt.org/papers/IJCRT2403378.pdf
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