FutureComputing4AI/HGConv
HGConv: Holographic Global Convolutional Networks
This project offers an advanced method for detecting malware by analyzing long sequences of code or system behaviors. It takes raw malware samples or behavioral sequences as input and outputs a classification indicating whether the sample is malicious. It is designed for cybersecurity analysts, threat intelligence researchers, or security operations engineers who need highly accurate and efficient malware classification.
No commits in the last 6 months.
Use this if you are a cybersecurity professional looking for a state-of-the-art malware detection system that can handle very long data sequences efficiently and accurately.
Not ideal if you are looking for a simple, out-of-the-box malware scanner for end-users, as this is a machine learning framework requiring technical setup.
Stars
8
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 08, 2025
Commits (30d)
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