Malware Detection Using Deep Learning
Firstly, we generate images from benign and malware executable files. Secondly, by using deep learning, we train a model to detect malware files. Then, by the trained model, we try to classify a file as malware or not. By using malware images and deep learning, we can detect malware fast since we do not need any static analysis or dynamic analysis.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Awesome Cybersecurity Datasets | 765 | a year ago | 8 | |||||||
| A curated list of amazingly awesome Cybersecurity datasets | ||||||||||
| Malware Classification | 140 | 2 years ago | 3 | gpl-3.0 | Python | |||||
| Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification | ||||||||||
| Cyber Security | 89 | 2 years ago | 1 | Jupyter Notebook | ||||||
| Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities | ||||||||||
| Youarespecial | 85 | 6 years ago | 2 | mit | Python | |||||
| Malware_api_class | 72 | 3 years ago | 2 | mit | Python | |||||
| Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers | ||||||||||
| Malwaredatascience | 68 | 5 years ago | mit | Jupyter Notebook | ||||||
| Malware Data Science Reading Diary / Notes | ||||||||||
| Robust Adv Malware Detection | 49 | 6 years ago | 1 | mit | Python | |||||
| Code repository for the paper "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" | ||||||||||
| Malware Revealer | 43 | 5 years ago | gpl-3.0 | Jupyter Notebook | ||||||
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| Adversarial Attack Algorithms | 39 | 5 years ago | Python | |||||||
| Malware_detect2 | 38 | 2 years ago | Python | |||||||
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