ACNN-IDS: An Attention-Based CNN for Cyberattack Detection in IoT-Reference-Cited by-同舟云学术

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ACNN-IDS: An Attention-Based CNN for Cyberattack Detection in IoT

Published:2024-02-26 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 2nd International Conference on Cyber Resilience (ICCR)
language:
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Author:

Huma Zil e¹,Ahmad Jawad²,Hamadi Hussam Al³,Ghaleb Baraq²,Buchanan William J.²,Jan Sana Ullah¹

Affiliation:

1. Institute of Space Technology,Department of Electrical Engineering,Islamabad,Pakistan

2. School of Computing, Engineering and the Built Environment, Edinburgh Napier University,Edinburgh,UK

3. College of Engineering and IT, University of Dubai,Dubai,United Arab Emirates

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10532252/10532778/10532958.pdf?arnumber=10532958

Reference16 articles.

1. Industrial Internet of Things: Challenges, Opportunities, and Directions

2. DTL-IDS: An optimized Intrusion Detection Framework using Deep Transfer Learning and Genetic Algorithm

3. Network intrusion detection system: A systematic study of machine learning and deep learning approaches

4. Automatic network intrusion detection: Current techniques and open issues

5. Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues

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