Update file README.md

README.md

 
 ### Bachelor project - ML in Cybersecurity.
 ##### URL Clustering:
+    Repo for Individual project in URL clustering. 2023Z
 
     Part 1: 
-        Basic exploration work on URLs from  https://www.kaggle.com/datasets/sid321axn/malicious-urls-dataset 
+        Work on URLs from  https://www.kaggle.com/datasets/sid321axn/malicious-urls-dataset 
         Data description: 600k URLs - 4 classes -> benign,malware,phishing,defacement  
     
     Goal:   Explore malware classification of URL data using Clustering methods
             Find "good" clustering for this purpose and explore how to evaluate what is "good" in this case
-            Try to approach more sophisticated data (XSS,SQLi,DGA etc.) and discriminate between types of malicious URLs. 
+            Try to approach more sophisticated data (XSS,SQLi,DGA, obfuscation techniques and phishing adresses etc.) and discriminate between types of malicious URLs. 
 
-python 3.8.10
-jupyter 1.0.0
-scikit-learn 1.2.2
-numpy 1.23.2
-matplotlib 3.7.4
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+    python 3.8.10
+    jupyter 1.0.0
+    scikit-learn 1.2.2
+    numpy 1.23.2
+    matplotlib 3.7.4
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