From 438fa09ed2df0461924017fcd09de611b360ad23 Mon Sep 17 00:00:00 2001
From: Walid Megherbi <mgwalidd@gmail.com>
Date: Fri, 26 Apr 2024 21:59:25 +0000
Subject: [PATCH] Update README.md

---
 README.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/README.md b/README.md
index fbe2b19..40b5100 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,3 @@
-
 # README: Anomaly Detection in Graph Data Using Isolation Forest
 
 This documentation supports the Python implementation of a machine learning-based anomaly detection system, particularly tailored for graph streams. Our approach  addresses the detection of Advanced Persistent Threats (APTs) by harnessing both structural and temporal characteristics of graph-based data, as described in our recent publication in Applied Intelligence (Megherbi et al., 2024). This method leverages hashing for compact data representation and a dynamic learning model, enabling efficient and incremental anomaly detection with minimal memory usage.
@@ -55,4 +54,4 @@ Contributions to enhance or extend the functionality of this script are welcome.
 
 ## Licensing
 
-This project and its contents are provided under the MIT License, details of which can be found in the accompanying LICENSE file.
+This project and its contents are provided under the MIT License.
-- 
GitLab