Enhanced Network Anomaly Detection Based on Deep Neural Networks

Enhanced Network Anomaly Detection Based on Deep Neural Networks

Due to the monumental growth of Internet applications in the last decade, the need for security of information network has increased manifolds. As a primary defense of network infrastructure, an intrusion detection system is expected to adapt to dynamically changing threat landscape. Many supervised...

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Bibliographic Details
Main Authors: Sheraz Naseer, Yasir Saleem, Shehzad Khalid, Muhammad Khawar Bashir, Jihun Han, Muhammad Munwar Iqbal, Kijun Han
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Deep learning
convolutional neural networks
autoencoders
LSTM
k_NN
decision_tree
Online Access:https://ieeexplore.ieee.org/document/8438865/

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https://ieeexplore.ieee.org/document/8438865/

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