Foundational Models for Malware Embeddings Using Spatio-Temporal Parallel Convolutional Networks-Reference-Cited by-同舟云学术

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Foundational Models for Malware Embeddings Using Spatio-Temporal Parallel Convolutional Networks

Published:2024-02-19 Issue: Volume:73 Page:168-174
ISSN:
Container-title:2024 International Conference on Computing, Networking and Communications (ICNC)
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Author:

Nandakumar Dhruv¹,Quinn Devin¹,Soba Elijah¹,Kim Eunyoung¹,Redino Christopher¹,Chan Chris¹,Choi Kevin¹,Rahman Abdul¹,Bowen Edward¹

Affiliation:

1. Deloitte & Touche LLP

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10555566/10555889/10556354.pdf?arnumber=10556354

Reference29 articles.

1. A Novel Machine Learning Based Malware Detection and Classification Framework

2. Android Malware Category and Family Classification Using Static Analysis

3. Using multi-features to reduce false positive in malware classification

4. Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis

5. Graph-based malware detection using dynamic analysis

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