Dmitrijs Trizna dtrizna

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1. Transformer Neural Network for Dynamic Malware Detection

   Jupyter Notebook 40 13

2. Reverse Shell Detection with Machine Learning

   Jupyter Notebook 5 2

3. Shell Language Processing (SLP). Pre-processing of sh/bash/zsh/.. commands for Machine Learning models.

   Python 37 5

4. Hybrid Machine Learning Model for Malware Detection based on Windows Kernel Emulation

   Jupyter Notebook 41 3

5. Hardened Proof of Concept of D/Invoke Process Injection malware

   C# 42 6

6. Code samples of .NET shellcode injections, weaponized for use via WebDav and mshta.exe.

   C# 37 9