Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance-Reference-Cited by-同舟云学术

Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
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Author:

Dambra Savino¹^ORCID,Han Yufei²^ORCID,Aonzo Simone³^ORCID,Kotzias Platon⁴^ORCID,Vitale Antonino³^ORCID,Caballero Juan⁵^ORCID,Balzarotti Davide³^ORCID,Bilge Leyla¹^ORCID

Affiliation:

1. Norton Research Group, Biot, France

2. INRIA, Rennes, France

3. EURECOM, Biot, France

4. Norton Research Group, Athens, Greece

5. IMDEA Software Institute, Madrid, Spain

Funder

Ministerio de Ciencia, Innovación y Universidades

Agence Nationale de la Recherche

European Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576915.3616589

Reference62 articles.

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2. Accessed September 20 2023. Chocolatey the Package Manager for Windows. https://chocolatey.org/.

3. Accessed September 20 2023. Detect-It-Easy. https://github.com/horsicq/Detect- It-Easy.

4. Accessed September 20 2023. JuanLesPIN. https://github.com/Maff1t/JuanLesP IN-Public.

5. Accessed September 20 2023. LordNoteworthy/al-khaser. https://github.com/L ordNoteworthy/al-khaser.

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