From 0d99f2bd7c11238d78e06dd25b943fb818a8dbd4 Mon Sep 17 00:00:00 2001
From: Souad Asroubi <45672002+souaddev@users.noreply.github.com>
Date: Sun, 21 Jan 2024 00:43:56 +0100
Subject: [PATCH] Update README.md

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 README.md | 3 ++-
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 # Dynamic-time-warping-based-anomaly-detection-for-industrial-control-system
 
-This repository presents a comprehensive approach to anomaly detection in Industrial Control Systems (ICS), with a focus on the Secure Water Treatment DataSet (SWaT). The implementation incorporates cutting-edge machine learning techniques, including Isolation Forest and Autoencoder models, augmented by the powerful Dynamic Time Warping (DTW) algorithm.
+This repository presents a comprehensive approach to anomaly detection in **Industrial Control Systems (ICS)**, with a focus on the **Secure Water Treatment DataSet (SWaT)**. 
+The implementation incorporates cutting-edge machine learning techniques, including **Isolation Forest** and **Autoencoder** models, augmented by the powerful **Dynamic Time Warping (DTW) algorithm**.