Optimized deep autoencoder model for internet of things intruder detection
The development of an optimized deep learning intruder detection model that could be executed on IoT devices with limited hardware support has several advantages, such as the reduction of communication energy, lowering latency, and protecting data privacy. Motivated by these benefits, this research...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/104365/1/HusseinSalemAli2022_OptimizedDeepAutoencoderModelforInternet.pdf http://eprints.utm.my/104365/ http://dx.doi.org/10.1109/ACCESS.2022.3144208 |
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