Lightweight Intrusion Detection in MQTT Based Sensor Network
Author:
Affiliation:
1. Quebec University at Chicoutimi,Qc,Canada
2. Bishop's University,Qc,Canada
3. NYIT - Vancouver - New York Institute of Technology,BC,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9987724/9987729/09988354.pdf?arnumber=9988354
Reference20 articles.
1. A Machine Learning-Based Lightweight Intrusion Detection System for the Internet of Things
2. Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol
3. Denial of service attack detection through machine learning for the IoT
4. Preventing MQTT Vulnerabilities Using IoT-Enabled Intrusion Detection System
5. MQTTset, a New Dataset for Machine Learning Techniques on MQTT
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Optimized common features selection and deep-autoencoder (OCFSDA) for lightweight intrusion detection in Internet of things;International Journal of Information Security;2024-04-30
2. On Securing Communications Between Connected Objects Using a Data-Centric Security Approach;2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2023-07-19
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