DTL-5G: Deep transfer learning-based DDoS attack detection in 5G and beyond networks-Reference-Cited by-同舟云学术

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DTL-5G: Deep transfer learning-based DDoS attack detection in 5G and beyond networks

Published:2024-12 Issue: Volume:228 Page:107927
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Farzaneh Behnam^ORCID,Shahriar Nashid,Muktadir Abu Hena Al,Towhid Md. Shamim,Khosravani Mohammad Sadegh

Funder

Innovation for Defence Excellence and Security

Ministère de la Défense Nationale

Canada Department of National Defense

Publisher

Elsevier BV

Reference60 articles.

1. 5G evolution: A view on 5G cellular technology beyond 3GPP release 15;Ghosh;IEEE Access,2019

2. Composite and efficient ddos attack detection framework for B5g networks;Amaizu;Comput. Netw.,2021

3. SliceSecure: Impact and detection of DoS/DDoS attacks on 5G network slices;Khan,2022

4. Fundamentals of 5G Mobile Networks;Rodriguez,2015

5. A survey of transfer learning;Weiss;J. Big Data,2016

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