Comparison of Machine Learning and Deep Learning Models for Network Intrusion Detection Systems

Comparison of Machine Learning and Deep Learning Models for Network Intrusion Detection Systems

The development of robust anomaly-based network detection systems, which are preferred over static signal-based network intrusion, is vital for cybersecurity. The development of a flexible and dynamic security system is required to tackle the new attacks. Current intrusion detection systems (IDSs) s...

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Bibliographic Details
Main Authors: Niraj Thapa, Zhipeng Liu, Dukka B. KC, Balakrishna Gokaraju, Kaushik Roy
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Future Internet
Subjects:
network intrusion detection
CIDDS
machine learning
deep learning
KNN
CART
Online Access:https://www.mdpi.com/1999-5903/12/10/167

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https://www.mdpi.com/1999-5903/12/10/167

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