rickyxume/Malware_Classification
Datawhale&科大讯飞2021A.I.开发者大赛恶意软件分类CV/NLP/表格三个方向的建模思路+伪标签LGB（rank11）
This project helps cybersecurity analysts quickly identify different types of malware by taking in raw opcode frequencies and file size data. It then classifies the software as benign or various malware categories. The output helps analysts understand the nature of suspicious files without deep manual inspection.
No commits in the last 6 months.
Use this if you need to classify software as malicious or benign based on low-level file characteristics like opcode frequency and file size.
Not ideal if you need to analyze malware behavior dynamically or require detailed forensic reports beyond simple classification.
Stars
11
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 11, 2021
Commits (30d)
0
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