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
PURL: pkg:github/rkmalaiya/network_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: over 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