ML4Net
- Italy
ML4Net is a collaborative group of students working on projects related to the Machine Learning for Networking course.
- Course Name: Machine Learning for Networking
- Course Abbreviation: ML4N
- University: Politecnico di Torino
| Name | GitHub | |
|---|---|---|
| Andrea Botticella | ||
| Elia Innocenti | ||
| Renato Mignone | ||
| Simone Romano |
- SSH-Shell-Attacks - Repository for the machine learning and data analysis tasks related to SSH Shell Attacks project.
- latex-report - Repository containing the LaTeX files and resources for documenting the project.
If you are a member of ML4Net, feel free to contribute by cloning the repositories, creating new branches for your work, and submitting pull requests for review. All contributions are welcome and reviewed by the team members to ensure the quality and consistency of our projects.
For any questions or inquiries, feel free to reach out to us individually:
- Andrea Botticella: andrea.botticella@studenti.polito.it
- Elia Innocenti: elia.innocenti@studenti.polito.it
- Renato Mignone: renato.mignone@studenti.polito.it
- Simone Romano: simone.romano2@studenti.polito.it
For more information, visit our course page:
All content within this organization is licensed under the MIT License.
Thank you for visiting the ML4Net GitHub page! Feel free to explore our projects and contribute to our open-source efforts.
Popular repositories Loading
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.github .github Public
Centralized repository for guidelines and templates for the ML4Net organization.
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latex-report latex-report Public
LaTeX Report for the ML4N Project @ Polito - Code and resources for the Project Report.
TeX
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SSH-Shell-Attacks SSH-Shell-Attacks Public
Project for Machine Learning for Networking Exam @ Polito - SSH Shell Attacks Analysis: a project to classify attacker tactics and identify patterns in 230,000 honeypot-captured Unix shell attacks …
Jupyter Notebook
Repositories
- SSH-Shell-Attacks Public
Project for Machine Learning for Networking Exam @ Polito - SSH Shell Attacks Analysis: a project to classify attacker tactics and identify patterns in 230,000 honeypot-captured Unix shell attacks using MITRE ATT&CK framework and ML techniques.
- latex-report Public
LaTeX Report for the ML4N Project @ Polito - Code and resources for the Project Report.
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