HIGHLIGHTS
- who: Xiaonan Li et al. from the College of Science and Engineering, James Cook University, Townsville, QLD, Australia have published the Article: Improving Network-Based Anomaly Detection in Smart Home Environment, in the Journal: Sensors 2022, 22, 5626. of /2022/
- what: The authors propose a novel method to assist classification machine learning algorithms generate an anomalybased NIDS detection model hence detecting the abnormal SH IoT device network behaviour. The aim of this study is to investigate intrusion in the initial phase of SH environments. The authors propose a new method to pre-process the network . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.