Name
Title | ||
|---|---|---|
IoT data feature extraction and intrusion detection system for smart cities based on deep migration learning |
Abstract | ||
|---|---|---|
•IoT feature extraction and intrusion detection algorithm for intelligent city based on deep migration learning model is proposed.•The deep learning model is enhanced and optimized to be fit for the smart city scenarios.•Parameter transfer mines model parameters model is designed to establish connection between target task and source task.•Feature transfer focuses on finding a common feature representation implicit in source and target domain feature spaces.•The proposed model is tested on pubic massive complex data sets to validate the robustness. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ijinfomgt.2019.04.006 | International Journal of Information Management |
Keywords | Field | DocType |
Deep learning,Migration learning model,Sensor network,Smart City,Internet of things,Information feature extraction,Intrusion detection, machine learning | Sensor node,Information technology,Internet of Things,Knowledge management,Computer network,Feature extraction,Software,Artificial intelligence,Deep learning,Engineering,Electronic component,Intrusion detection system | Journal |
Volume | ISSN | Citations |
49 | 0268-4012 | 3 |
PageRank | References | Authors |
0.39 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daming Li | 1 | 18 | 5.72 |
| Lianbing Deng | 2 | 42 | 6.33 |
| Minchang Lee | 3 | 3 | 0.73 |
| Haoxiang Wang | 4 | 276 | 15.25 |