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Vivek-Tate / IDS-Detection-and-Exploiting-Vulnerabilities-in-UWAN

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This project focuses on utilising external adversary nodes with passive listening to accurately detect IDS positions in Underwater Acoustic Networks (UWANs), while mapping network topology and identifying potential blind spots for strategic vulnerability exploitation.

python machine-learning localization artificial-intelligence cyber-security intrusion-detection-system netsim underwater-acoustic-networks
  • Updated Sep 1, 2024
  • Python

Anustup900 / Automated-Malware-Analysis

Star 11

Machine Learning Model to detect hidden malwares and phase changing malwares.It predicts the date of the next probable attack of the malware and its extent.It deals with the change in network traffic flow.It is developed in Python in Jupyter notebook.

python machine-learning tensorflow svm malware jupyter-notebook deep cnn collaborative-filtering hybrid cyber-security automated-malware-analysis detect-hidden-malwares network-traffic-flow
  • Updated Apr 30, 2020
  • Python

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