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GitHub / rkmalaiya / network_anomaly_detection_deep_learning

This project has been conducted under the supervision of Dr. Jinoh Kim and Dr. Donghwoon Kwon at Texas A&M University-Commerce. The research outcome are published in the proceeding of IEEE ICNC 2018 (http://www.conf-icnc.org/2018/), with the title of “An Empirical Evaluation of Deep Learning for Network Anomaly Detection”.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rkmalaiya%2Fnetwork_anomaly_detection_deep_learning

Stars: 13
Forks: 8
Open issues: 8

License: mit
Language: Jupyter Notebook
Size: 40 MB
Dependencies parsed at: Pending

Created at: about 8 years ago
Updated at: over 2 years ago
Pushed at: over 6 years ago
Last synced at: over 2 years ago

Topics: autoencoders, deep-learning, lstm, sequence-to-sequence, tensorflow

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