urwithajit9 / ClaMPLinks
A Malware classifier dataset built with header fields’ values of Portable Executable files
☆91Updated 2 years ago
Alternatives and similar repositories for ClaMP
Users that are interested in ClaMP are comparing it to the libraries listed below
Sorting:
- Malware Detection and Classification Using Machine Learning☆341Updated 8 years ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆80Updated 5 years ago
- Free Malware Training Datasets for Machine Learning☆237Updated 4 years ago
- Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification☆173Updated 2 years ago
- AVClass malware labeling tool☆479Updated last year
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆249Updated 3 years ago
- ☆79Updated 5 years ago
- Elastic Malware Benchmark for Empowering Researchers☆1,082Updated 11 months ago
- A neural approach to malware detection in portable executables☆79Updated 2 years ago
- Transfer Learning for Image-Based Malware Classification☆46Updated 3 years ago
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆87Updated last year
- This is the implementation of MalConv proposed in [Malware Detection by Eating a Whole EXE](https://arxiv.org/abs/1710.09435) and its adv…☆89Updated 6 years ago
- Create adversarial attacks against machine learning Windows malware detectors☆237Updated 3 weeks ago
- Malware Data Science Reading Diary / Notes☆129Updated 6 years ago
- Malware Classification using Machine learning☆74Updated 11 months ago
- Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …☆85Updated last year
- ☆50Updated 9 years ago
- A Machine Learning approach for classifying a file as Malicious or Legitimate☆75Updated 9 years ago
- ☆13Updated 7 years ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆109Updated last year
- RNN implementation with Keras for machine activity data to predict malware☆42Updated last year
- Attempt to use the machine learning workflow to process and transform sampled PE file data to create a prediction model.☆40Updated 4 years ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆71Updated 2 weeks ago
- Dataset with labeled benign and malicious files 🗃️☆139Updated 2 years ago
- Malware detection demo using machine learning.☆25Updated 7 years ago
- ☆158Updated 3 years ago
- ☆25Updated 3 years ago
- MIST (Malware Instruction Set) is a metalanguage representation for monitored behavior of malicious software. Cuckoo2MIST works by conver…☆14Updated 7 years ago
- Pytorch implementation of MalConv☆71Updated 3 years ago
- Malware Bypass Research using Reinforcement Learning☆106Updated last year