Antiransomware with hybrid malware analysis.
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Updated
Jul 8, 2021 - Python
Antiransomware with hybrid malware analysis.
Anti-Ransomware Detection Tool
A machine learning model to detect ransomware.
Python file encrypter. Test your ransomware detection tooling.
A classification model to detect whether the bitcoin transaction is a ransomware attack or not.
☠️ This is a model for classifying grayscale images as either ransomware or normal files using a convolutional neural network (CNN).
Monitoramento de Processos / Monitoramento de Arquivos / Encerramento de Processos Suspeitos
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Autoencoder & Variational Autoencoder for data augmentation and checking data authenticity with ML models.
Ferramenta de detecção anti-ransomware
Malware Detection Using Machine Learning and Deep Learning Algorithms where highest Accuracy get 95%
Ransomware Detection and Mitigation using Software-Defined Networking
Anti-Ransomware to mitigate and neutralize Ryuk Threat.
Using machine learning(classification) to detect whether a bitcoin transaction is a ransomware attack
This repo is created to perform I/O Request Packet (IRP) driven ransomware analysis where the IRP logs were collected during ransomware execution.
The final project for Smartphone Security (CSDS448). A static malware and ransomware permission analysis tool.
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