Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach
Author:
Affiliation:
1. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
2. State Key Laboratory of IoT for Smart City, Faculty of Science and Technology, University of Macau, Macau, China
Funder
Third Xinjiang Scientific Expedition Program
Science and Technology Development Fund of Macao SAR
Chinese Academy of Sciences President’s International Fellowship Initiative
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/10142029/10026337.pdf?arnumber=10026337
Reference40 articles.
1. A Supervised Intrusion Detection System for Smart Home IoT Devices
2. Adversarial Attacks Against Network Intrusion Detection in IoT Systems
3. Design of Complex Event-Processing IDS in Internet of Things
4. On the Performance of Machine Learning Models for Anomaly-Based Intelligent Intrusion Detection Systems for the Internet of Things
5. Deep Learning-Based Intrusion Detection for IoT Networks
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