AI-Driven Approaches to Cybersecurity: The Impact of Machine and Deep Learning-Reference-Cited by-同舟云学术

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AI-Driven Approaches to Cybersecurity: The Impact of Machine and Deep Learning

Published:2024-02-26 Issue: Volume:5 Page:1-5
ISSN:
Container-title:2024 2nd International Conference on Cyber Resilience (ICCR)
language:
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Author:

Ali Atif¹,Razzaque Abdul²,Munir Usama³,Shahid Hina⁴,Khattak Furqan Wali⁵,Rajpoot Zain⁶,Kamran Muhammad⁷,Farid Zulqarnain⁸

Affiliation:

1. Multimedia University,Research Management Centre (RMC),Cyberjaye,Malaysia,63100

2. MCS NUST,Islamabad,Pakistan

3. Sir syed CASE institute of technology,Islamabad

4. University of South Asia (USA),Lahore Cantt.

5. Abasyn university Islamabad campus

6. NCBA&E Lahore,Pakistan

7. Minhaj University Lahore,Lahore,Pakistan

8. University of Karachi,Dept of Criminology,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10532252/10532778/10532780.pdf?arnumber=10532780

Reference22 articles.

1. Intrusive Detection Techniques Utilizing Machine Learning, Deep Learning, and Anomaly-based Approaches

2. Dark World

3. Supporting User Privacy in Location Based Services

4. An Automated Platform for Gathering and Managing Open-Source Cyber Threat Intelligence

5. Impact of Artificial Intelligence and Machine Learning on Cybersecurity

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