Broad learning: A GPU-free image-based malware classification-Reference-Cited by-同舟云学术

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Broad learning: A GPU-free image-based malware classification

Published:2024-03 Issue: Volume:154 Page:111401
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Vasan Danish,Hammoudeh Mohammad^ORCID,Alazab Mamoun

Publisher

Elsevier BV

Reference63 articles.

1. Reports Mcafee ATR Threat, “Mcafee ATR Threat Reports,” 2021.

2. AV Test malware statistics, “AV Test malware statistics, 2021.,” 2021.

3. 2021 IT threat evolution, “IT threat evolution Q2 2021.,” 2021.

4. SANS Webcast Recap, “SANS Webcast Recap 2020.,” 2020.

5. FOSSIL: A resilient and efficient system for identifying FOSS functions in Malware binaries;Alrabaee;ACM Trans. Priv. Secur.,2018

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1. Scouting the Juncture of Internet of Things (IoT), Deep Learning, and Cybercrime;Advances in Digital Crime, Forensics, and Cyber Terrorism;2024-09-13

2. Harnessing Machine Learning Intelligence Against Cyber Threats;Advances in Business Strategy and Competitive Advantage;2024-08-28

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