Enhancing Cybersecurity with Artificial Neural Networks: A Study on Threat Detection and Mitigation Strategies-Reference-Cited by-同舟云学术

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Enhancing Cybersecurity with Artificial Neural Networks: A Study on Threat Detection and Mitigation Strategies

Published:2024-02-26 Issue: Volume:30 Page:1-5
ISSN:
Container-title:2024 2nd International Conference on Cyber Resilience (ICCR)
language:
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Author:

Ali Atif¹,Zia Awais²,Razzaque Abdul³,Shahid Hina⁴,Sheikh Haroon Tariq⁵,Saleem Muhammad⁶,Yousaf Farhan⁷,Muneer Salman⁸

Affiliation:

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

2. The Superior University,Lahore,Pakistan

3. MCS NUST Islamabad Pakistan

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

5. Iqra University Islamabad

6. School of Computer Science, Minhaj University Lahore,Lahore,Pakistan

7. University of management and technology

8. NCBA&E,Lahore,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10532252/10532778/10533152.pdf?arnumber=10533152

Reference26 articles.

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

2. Information theoretic perspective on sample complexity

3. A Distributed Model of Human Learning and Memory

4. Dark World

5. Applied Artificial Intelligence as Event Horizon Of Cyber Security

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