https://github.com/sanderronde/bachelor-thesis
Computer Science Bachelor thesis exploring the effectiveness of using recurrent neural networks for anomaly detection in the Los Alamos cyber-security data set.
https://github.com/sanderronde/bachelor-thesis
anomaly-detection cyber-security dataset gru keras los-alamos lstm python rnn tensorflow
Last synced: 3 months ago
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Computer Science Bachelor thesis exploring the effectiveness of using recurrent neural networks for anomaly detection in the Los Alamos cyber-security data set.
- Host: GitHub
- URL: https://github.com/sanderronde/bachelor-thesis
- Owner: SanderRonde
- Created: 2017-03-28T19:54:00.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2017-11-18T03:52:05.000Z (over 8 years ago)
- Last Synced: 2024-04-14T07:45:15.656Z (about 2 years ago)
- Topics: anomaly-detection, cyber-security, dataset, gru, keras, los-alamos, lstm, python, rnn, tensorflow
- Language: Python
- Homepage: https://sanderronde.github.io/bachelor-thesis
- Size: 32 MB
- Stars: 1
- Watchers: 4
- Forks: 2
- Open Issues: 0