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

• Published in: IEEE transactions on emerging topics in computing Vol. 7; no. 2; pp. 314 - 323
• Main Authors: Pajouh, Hamed Haddad, Javidan, Reza, Khayami, Raouf, Dehghantanha, Ali, Choo, Kim-Kwang Raymond
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Anomaly detection; CF-KNN; Classification; Computational modeling; Computer networks; Datasets; Dimensionality reduction; Discriminant analysis; Feature extraction; Hidden Markov models; Internet of Things; Intrusion detection; intrusion detection system; Intrusion detection systems; IoT; Modules; multi-layer classification; Principal component analysis; Reduction; Regression analysis
• ISSN: 2168-6750; 2168-6750
• DOI: 10.1109/TETC.2016.2633228

With increasing reliance on Internet of Things (IoT) devices and services, the capability to detect intrusions and malicious activities within IoT networks is critical for resilience of the network infrastructure. In this paper, we present a novel model for intrusion detection based on two-layer dim...