A Two-layer Dimension Reduction and Two-tier Classification Model for Anomaly-Based Intrusion Detection in IoT Backbone Networks

Haddad Pajouh, H., Javidan, R., Khayami, R. et al. (2 more authors) (2016) A Two-layer Dimension Reduction and Two-tier Classification Model for Anomaly-Based Intrusion Detection in IoT Backbone Networks. IEEE Transactions on Emerging Topics in Computing. ISSN 2168-6750

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2016 IEEE.
Keywords: Multi-layer Classification; Anomaly Detection; CF-KNN; Intrusion Detection System; IoT
Dates:
  • Published: 26 November 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 09 Mar 2018 11:48
Last Modified: 09 Mar 2018 11:48
Published Version: https://doi.org/10.1109/TETC.2016.2633228
Status: Published
Publisher: IEEE
Refereed: Yes
Identification Number: https://doi.org/10.1109/TETC.2016.2633228

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