Similarity Based Feature Transformation for Network Anomaly Detection

Similarity Based Feature Transformation for Network Anomaly Detection

The fundamental objective behind any network intrusion detection system is to automate the detection process whenever intrusions occur in the network. The problem of the network anomaly detection is to determine, if the network incoming traffic is legitimate (or) anomalous. Automated detection syste...

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Bibliographic Details
Main Authors: Arun Nagaraja, Uma Boregowda, Khalaf Khatatneh, Radhakrishna Vangipuram, Rajasekhar Nuvvusetty, V. Sravan Kiran
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Similarity function
feature clustering
intrusion
conditional feature pattern vector
anomaly detection
Online Access:https://ieeexplore.ieee.org/document/9006824/

Internet

https://ieeexplore.ieee.org/document/9006824/

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