scholarly journals Computer network intrusion detection using sequential LSTM Neural Networks autoencoders

Author(s):  
Ali H. Mirza ◽  
Selin Cosan
2014 ◽  
pp. 126-134
Author(s):  
Akira Imada

This article is a consideration on computer network intrusion detection using artificial neural networks, or whatever else using machine learning techniques. We assume an intrusion to a network is like a needle in a haystack not like a family of iris flower, and we consider how an attack can be detected by an intelligent way, if any.


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