Open Access
ARTICLE
Intrusion Detection Method of Internet of Things Based on Multi GBDT Feature Dimensionality Reduction and Hierarchical Traffic Detection
Taifeng Pan*
Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and
Telecommunications, Beijing, 100876, China
* Corresponding Author: Taifeng Pan. Email:
Journal of Quantum Computing 2021, 3(4), 161-171. https://doi.org/10.32604/jqc.2021.025373
Received 02 October 2021; Accepted 28 November 2021; Issue published 10 January 2022
Abstract
The rapid development of Internet of Things (IoT) technology has
brought great convenience to people’s life. However, the security protection
capability of IoT is weak and vulnerable. Therefore, more protection needs to be
done for the security of IoT. The paper proposes an intrusion detection method for
IoT based on multi GBDT feature reduction and hierarchical traffic detection
model. Firstly, GBDT is used to filter the features of IoT traffic data sets BoT-IoT
and UNSW-NB15 to reduce the traffic feature dimension. At the same time, in
order to improve the reliability of feature filtering, this paper constructs multiple
GBDT models to filter the features of multiple sub data sets, and comprehensively
evaluates the filtered features to find out the best alternative features. Then, two
neural networks are trained with the two data sets after dimensionality reduction,
and the traffic will be detected with the trained neural network. In order to improve
the efficiency of traffic detection, this paper proposes a hierarchical traffic
detection model, which can reduce the computational cost and time cost of
detection process. Experiments show that the multi GBDT dimensionality
reduction method can obtain better features than the traditional PCA
dimensionality reduction method. Besides, the use of dual data sets improves the
comprehensiveness of the IoT intrusion detection system, which can detect more
types of attacks, and the hierarchical traffic model improves the detection
efficiency of the system.
Keywords
Cite This Article
T. Pan, "Intrusion detection method of internet of things based on multi gbdt feature dimensionality reduction and hierarchical traffic detection,"
Journal of Quantum Computing, vol. 3, no.4, pp. 161–171, 2021. https://doi.org/10.32604/jqc.2021.025373