IEEE - Institute of Electrical and Electronics Engineers, Inc. - Network-traffic anomaly detection with incremental majority learning

2015 International Joint Conference on Neural Networks (IJCNN)

Author(s): Shin-Ying Huang ; Fang Yu ; Rua-Huan Tsaih ; Yennun Huang
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 July 2015
Conference Location: Killarney, Ireland
Conference Date: 12 July 2015
Page(s): 1 - 8
ISBN (Electronic): 978-1-4799-1960-4
ISBN (DVD): 978-1-4799-1959-8
ISSN (Electronic): 2161-4407
DOI: 10.1109/IJCNN.2015.7280573
Regular:

Detecting anomaly behavior in large network traffic data has presented a great challenge in designing effective intrusion detection systems. We propose an adaptive model to learn majority patterns... View More

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