Deep learning approaches for detecting DDoS attacks: a systematic review-Reference-Cited by-同舟云学术

Deep learning approaches for detecting DDoS attacks: a systematic review

Published:2022-01-27 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Mittal Meenakshi^ORCID,Kumar Krishan,Behal Sunny

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-021-06608-1.pdf

Reference98 articles.

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3. Ahmad R, Alsmadi I (2021) Machine learning approaches to IoT security: a systematic literature review. Internet Things 14:100365

4. Ahmad Z, Khan AS, Shiang CW, Abdullah J, Ahmad F (2021) Network intrusion detection system: a systematic study of machine learning and deep learning approaches. Trans Emerg Telecommun Technol 32:e4150

5. Aldweesh A, Derhab A, Emam AZ (2020) Deep learning approaches for anomaly-based intrusion detection systems: a survey, taxonomy, and open issues. Knowl Based Syst 189:2020

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