When a RF beats a CNN and GRU, together—A comparison of deep learning and classical machine learning approaches for encrypted malware traffic classification-Reference-Cited by-同舟云学术

When a RF beats a CNN and GRU, together—A comparison of deep learning and classical machine learning approaches for encrypted malware traffic classification

Published:2023-01 Issue: Volume:124 Page:103000
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Lichy Adi,Bader Ofek,Dubin Ran^ORCID,Dvir Amit^ORCID,Hajaj Chen^ORCID

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference48 articles.

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4. Machine learning approaches to network anomaly detection;Ahmed,2007

5. Identifying encrypted malware traffic with contextual flow data;Anderson,2016

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