From 1221e8d4ef24b5757b2a61aa78b7f0159cac8f7a Mon Sep 17 00:00:00 2001
From: Massimo Guarascio <49280976+massimo-guarascio@users.noreply.github.com>
Date: Thu, 19 Nov 2020 10:41:38 +0100
Subject: [PATCH] Update README.md

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 README.md | 8 ++++++++
 1 file changed, 8 insertions(+)

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 # dnn_ensemble_ids
 DNN-Ensemble IDS is a machine learning based classification model for intrusion detection exploiting a Specialized Ensemble of classifiers. Multiple base classifiers are trained on data gathered in different time windows where different types of attacks occur (Data Chunks). These base classifiers take the form of Deep Neural Networks (DNNs) sharing all the same architecture, but trained against different samples of the given training data. Finally, an incremental learning schema is adopted to cope with different problems such as Large high-speed datastream and rare attacks.
 
+## Author
 
+The code is developed and maintained by Massimo Guarascio and Gianluigi Folino (massimo.guarascio@icar.cnr.it , gianluigi.folino@icar.cnr.it)
+
+## Usage
+
+First, download this repo:
+- You need to have 'python' installed.
+- You also need to install 'numpy', 'matplotplib', 'pandas', and 'sklearn', 'mlxtend', 'keras' and 'tensorflow 1.4'.