Revolutionizing Cyber Threat Detection With Large Language Models: A Privacy-Preserving BERT-Based Lightweight Model for IoT/IIoT Devices-Reference-Cited by-同舟云学术

Revolutionizing Cyber Threat Detection With Large Language Models: A Privacy-Preserving BERT-Based Lightweight Model for IoT/IIoT Devices

Published:2024 Issue: Volume:12 Page:23733-23750
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ferrag Mohamed Amine¹^ORCID,Ndhlovu Mthandazo¹^ORCID,Tihanyi Norbert¹^ORCID,Cordeiro Lucas C.²^ORCID,Debbah Merouane³^ORCID,Lestable Thierry¹,Thandi Narinderjit Singh¹

Affiliation:

1. Technology Innovation Institute, Abu Dhabi, United Arab Emirates

2. Department of Computer Science, The University of Manchester, Manchester, U.K

3. KU 6G Research Center, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates

Funder

Technology Innovation Institute (TII), Abu Dhabi, United Arab Emirates

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10423646.pdf?arnumber=10423646

Reference38 articles.

1. Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions

2. A Machine Learning Approach for the NLP-Based Analysis of Cyber Threats and Vulnerabilities of the Healthcare Ecosystem

3. Transformer-Based Language Models for Software Vulnerability Detection

4. BERT: Pre-training of deep bidirectional transformers for language understanding;Devlin;arXiv:1810.04805,2018

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