Malware Detection With Subspace Learning-Based One-Class Classification-Reference-Cited by-同舟云学术

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Malware Detection With Subspace Learning-Based One-Class Classification

Published:2024 Issue: Volume:12 Page:81017-81029
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Al-Khshali Hasan H.¹^ORCID,Ilyas Muhammad²^ORCID,Sohrab Fahad³^ORCID,Gabbouj Moncef³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Altinbas University, İstanbul, Turkey

2. Department of Cybersecurity, College of Engineering, Al Ain University, Abu Dhabi, United Arab Emirates

3. Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland

Funder

NSF-Business Finland Project AMALIA and Haltian’s Carbon Handprint Research Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/6287639/10380310/10549886-aam.pdf

Reference56 articles.

1. Review of Machine Learning Methods for Windows Malware Detection

2. Unbalanced network attack traffic detection based on feature extraction and GFDA-WGAN

3. Host-based code injection attacks: A popular technique used by malware

4. 10 Years of IoT Malware: A Feature-Based Taxonomy

5. IoT Malware Classification Based on System Calls

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