Enhanced deep learning intrusion detection in IoT heterogeneous network with feature extraction

Heterogeneous network is one of the challenges that must be overcome in Internet of Thing Intrusion Detection System (IoT IDS). The difficulty of the IDS significantly is caused by various devices, protocols, and services, that make the network becomes complex and difficult to monitor. Deep learning...

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Bibliographic Details
Main Authors: Sharipuddin, Sharipuddin, Winanto, Eko Arip, Purnama, Benni, Kurniabudi, Kurniabudi, Stiawan, Deris, Hanapi, Darmawijoyo, Idris, Mohd. Yazid, Kerim, Bedine, Budiarto, Rahmat
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2021
Subjects:
Online Access:http://eprints.utm.my/id/eprint/95667/1/MohdYazid2021_EnhancedDeepLearningIntrusionDetection.pdf
http://eprints.utm.my/id/eprint/95667/
http://dx.doi.org/10.52549/.V9I3.3134
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