xiaozhouwang / kaggle_Microsoft_Malware
code for kaggle competition Microsoft malware classification
☆250Updated 9 years ago
Alternatives and similar repositories for kaggle_Microsoft_Malware:
Users that are interested in kaggle_Microsoft_Malware are comparing it to the libraries listed below
- Kaggle 'Microsoft Malware Classification Challenge' 3rd place solution☆90Updated 9 years ago
- ☆50Updated 8 years ago
- eXpose deep neural network, detects malicious URLs, file paths and registry keys with proper training☆46Updated 6 years ago
- Kaggle "Microsoft Malware Classification Challenge". 6th place solution☆27Updated 9 years ago
- Malware Detection and Classification Using Machine Learning☆332Updated 7 years ago
- CuckooML: Machine Learning for Cuckoo Sandbox☆145Updated 2 years ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆81Updated 4 years ago
- Code for Deep Android Malware Detection paper☆174Updated 7 years ago
- RNN implementation with Keras for machine activity data to predict malware☆41Updated 11 months ago
- Malware detection project on Android devices using machine learning classification algorithms.☆74Updated 7 years ago
- Kaggle微软恶意代码分类☆152Updated 4 years ago
- Detection of malware using dynamic behavior and Windows audit logs☆78Updated 9 years ago
- Free Malware Training Datasets for Machine Learning☆227Updated 4 years ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆105Updated 5 months ago
- Pytorch implementation of MalConv☆71Updated 2 years ago
- A library for adversarial classifier evasion☆40Updated 10 years ago
- An evolutionary framework for evading machine learning-based malware classifiers.☆109Updated 2 years ago
- PySpark solution to the KDDCup99☆99Updated 8 years ago
- A Malware classifier dataset built with header fields’ values of Portable Executable files☆90Updated 2 years ago
- ☆14Updated 6 years ago
- MIST (Malware Instruction Set) is a metalanguage representation for monitored behavior of malicious software. Cuckoo2MIST works by conver…☆13Updated 6 years ago
- ☆76Updated 5 years ago
- Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification☆166Updated last year
- Beating the benchmark for Microsoft Malware Classification Challenge (BIG 2015)☆28Updated 9 years ago
- A Tool for Automatic Analysis of Malware Behavior☆369Updated 5 years ago
- Machine Learning and Security | Using machine learning to detect malicious URLs☆267Updated 2 years ago
- A series of labs that will help users apply various data science techniques to security related data.☆132Updated 9 years ago
- A project to label the VirusShare malware corpus using VirusTotal's public API.☆30Updated last year
- POC IDS anomaly detection engine built with iPython notebook, matplotlib, pandas, numpy, scikit-learn, d3.js, hyperloglog implementation,…☆78Updated 10 years ago
- Kaggle 'Search Results Relevance' 2nd place solution☆79Updated 9 years ago