Initial version of the doc.

README.md

+# ModSecurity and Machine Learning Module
+This module apply machine learning techniques to improve the detection capabilities of the WAF ModSecurity giving particular importance to the task of diminishing the false positives generated by this tool when is set out to protect a web application without reducing the true positive rate.
+
+This project integrates ModSecurity using LUA with an anomaly detection evaluator implemented in Java. A more detailed description on the evaluator could be found in [this article](https://arxiv.org/abs/1803.05529).
+
+## Installation
+This module have the following prerequisites:
+- Apache Server
+- ModSecurity module
+- Java virtual machine
+
+In Fedora install as follow:
+
+    dnf -y install httpd mod_security java
+
+The following steps install the ML module
+
+    git clone https://gitlab.fing.edu.uy/gsi/modsec-ml.git /etc/httpd/modsecurity.d/ml
+
+Include the execution of the script in the ModSecurity configuration. An example of the rule could be found at `lua_rule.conf`
+
+## configuration
+
+## License
+
+# Sponsors
+![Tilsor Logo](/images/logo.png) ![ICT4V](https://ict4v.org/wp-content/images/ict4v-footer.svg) ![Facultad de Ingeniería - UDELAR](https://www.fing.edu.uy/sites/default/files/cti_flex_logo.png)
+![Facultd de Ingeniería - Universidad Católica del Uruguay](https://ucu.edu.uy/sites/all/themes/univer/logo.png)