https://github.com/injamul3798/advanced-threat-detection-ml-driven-intrusion-detection-systems-for-robust-security

Intrusion Detection and Prevention Systems (IDSs/IPSs) are crucial defenses against evolving network attacks. However, due to a lack of reliable datasets, anomaly-based intrusion detection faces challenges in consistent and accurate performance. We've developed an AI-based system for precise intrusion detection
https://github.com/injamul3798/advanced-threat-detection-ml-driven-intrusion-detection-systems-for-robust-security

cybersecurity feature-engineering feature-extraction feature-selection intrusion-detection-system machine-learning

Last synced: 6 days ago
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Intrusion Detection and Prevention Systems (IDSs/IPSs) are crucial defenses against evolving network attacks. However, due to a lack of reliable datasets, anomaly-based intrusion detection faces challenges in consistent and accurate performance. We've developed an AI-based system for precise intrusion detection

• Host: GitHub
• URL: https://github.com/injamul3798/advanced-threat-detection-ml-driven-intrusion-detection-systems-for-robust-security
• Owner: injamul3798
• Created: 2024-01-21T15:01:34.000Z (about 1 year ago)
• Default Branch: master
• Last Pushed: 2024-01-27T12:19:00.000Z (about 1 year ago)
• Last Synced: 2024-12-14T16:17:51.303Z (2 months ago)
• Topics: cybersecurity, feature-engineering, feature-extraction, feature-selection, intrusion-detection-system, machine-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 15.6 KB
• Stars: 3
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Intrusion Detection Systems (IDSs) and Intrusion Prevention Systems (IPSs) are the most important defense tools against the sophisticated and ever-growing network attacks. Due to the lack of reliable test and validation datasets, anomaly-based intrusion detection approaches are suffering from consistent and accurate performance evolutions.Thus, We have developed an AI-based system for accurate intrusion detection.

#Let's see the accuracy of our project

![Screenshot (551)](https://github.com/injamul3798/Advanced-Threat-Detection-ML-Driven-Intrusion-Detection-Systems-for-Robust-Security/assets/101572467/e2bafb70-79d0-4a2d-9fa9-7b8430269604)

#Dataset link: https://www.unb.ca/cic/datasets/ids-2017.html

Devloped By Injamul Haque

(ML Researcher)