GitHub / DuseTrive / Anomaly-Based-NID-using-LSTM
This project utilizes LSTM-based network intrusion detection to improve cybersecurity, achieving high accuracy and low false positive rates.
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Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 714 KB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: about 2 years ago
Pushed at: about 2 years ago
Last synced at: about 2 years ago
Topics: anomaly-detection, ddos-detection, lstm, lstm-neural-networks, network
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