Multi-Channel Deep Feature Learning for Intrusion Detection

Multi-Channel Deep Feature Learning for Intrusion Detection

Networks had an increasing impact on modern life since network cybersecurity has become an important research field. Several machine learning techniques have been developed to build network intrusion detection systems for correctly detecting unforeseen cyber-attacks at the network-level. For example...

Full description

Bibliographic Details
Main Authors: Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cybersecurity
intrusion detection
machine learning
computer security
Online Access:https://ieeexplore.ieee.org/document/9036935/

Internet

https://ieeexplore.ieee.org/document/9036935/

Similar Items