Semisupervised learning in cybersecurity
Recommender systems attacks and phishing automatic detection
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About •
Features •
Docker •
Docs •
Images •
Contact •
License
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📚
GitHub Wiki •
YouTube Channel
🎥
About
| ### Welcome to semisupervised learning in cybersecurity! ✨ Regarding this repository, two investigation lines have been considered: detection of attacks in recommender systems and phishing 🐟. |
Features
| In this repo | |
|---|---|
| SSL algorithms implementation | ✔️ |
| Phishing detection using machine learning | ✔️ |
| Krini (a web phishing scanner developed using Flask) | ✔️ |
| Useful scripts (SOCKS5 proxies, Docker deploy and more!) | ✔️ |
| Cool wallpapers 🎨 | ✔️ |
| Documentation and Wiki 📚 | ✔️ |
| YouTube Channel 🎥 | ✔️ |
Deploy the web in Docker
You can access the scanner via Krini or deploy our Docker images in local. Everything is automatic! 🐳
Check all the information in the docker-deploy-kit README.md
👩💻 Are you a developer? Take a look in our developer guide for more details
Docs, wiki and tutorials
📚 Need some help? Check out our wiki, our video tutorials or the official documentation (main document and annexes)
Original documentation template is available in GitHub
Contact
Feel free to reach me out! 💌
GitHub phf1001 · LinkedIn patriciahf · Email phf1001
Used images
🛍️ Resources have been taken from Flaticon. All credits to owners.
Robot (by: Freepik) · Shield (by: Freepik) · Forbidden (by: Freepik) · Question marks (by: Freepik) · Cogwheel (by: Uniconlabs) · Crafts (by: Freepik) · Analyze (by: geotatah) · Sand clock (by: surang)
License
Information
ℹ Developed in colaboration with the Computer Sciences department of the University of Burgos.