Fwaf Machine Learning Driven Web Application Firewall

Name: faizann24/fwaf-machine-learning-driven-web-application-firewall
Author: faizann24

Machine learning driven web application firewall to detect malicious queries with high accuracy.

Machine learning driven web application firewall to detect malicious queries with high accuracy.

Features

Security Datasets - Dataset and implementation for ML-based web application firewalls.

Open-source alternatives to Fwaf Machine Learning Driven Web Application Firewall

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fivedirections/optc-data
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gubertoli/probingdataset
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See all 13 alternatives to Fwaf Machine Learning Driven Web Application Firewall

Frequently asked questions

What does faizann24/fwaf-machine-learning-driven-web-application-firewall do?

Machine learning driven web application firewall to detect malicious queries with high accuracy.

What are the main features of faizann24/fwaf-machine-learning-driven-web-application-firewall?

The main features of faizann24/fwaf-machine-learning-driven-web-application-firewall are: Security Datasets.

What are some open-source alternatives to faizann24/fwaf-machine-learning-driven-web-application-firewall?

Open-source alternatives to faizann24/fwaf-machine-learning-driven-web-application-firewall include: endgameinc/ember — Elastic Malware Benchmark for Empowering Researchers. fivedirections/optc-data. gubertoli/probingdataset — Dataset of Probing Attacks (Port Scan) performed with nmap, unicornscan, hping3, zmap and masscan. intel/yarpgen. jzadeh/aktaion — Aktaion: Open Source ML tool and data samples for Exploit and Phishing Research. cyb3rward0g/mordor.

Star history

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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