A lightweight intrusion detection framework using focal loss variational autoencoder for internet of things / Shapla Khanam
Internet of Things (IoT) generates imbalanced network traffic; thus, the connected objects in the IoT face security issues, including different and unknown attack types. Even though traditional learning-based techniques have been used for intrusion detection in IoT, the detection of low-frequency...
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| Format: | Thesis |
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2022
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| Online Access: | http://studentsrepo.um.edu.my/14779/1/Shapla_Khanam.pdf http://studentsrepo.um.edu.my/14779/2/Shapla_Khanam.pdf http://studentsrepo.um.edu.my/14779/ |
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