A Lightweight and Efficient IoT Intrusion Detection Method Based on Feature Grouping
Author:
Affiliation:
1. School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China
2. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China
Funder
National Natural Science Foundation of China
Project
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/ielx7/6488907/10384482/10177934.pdf?arnumber=10177934
Reference43 articles.
1. IoT: Internet of Threats? A Survey of Practical Security Vulnerabilities in Real IoT Devices
2. An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges
3. MaDIoT 2.0: Modern high-wattage IoT botnet attacks and defenses;Shekari
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