Intrusion detection with deep learning on internet of things heterogeneous network

• Main Authors: Sharipuddin, S., Purnama, B., Kurniabudi, K., Winanto, E. A., Stiawan, D., Hanapi, D., Idris, M. Y., Budiarto, R.
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/95312/1/MohdYazidIdris2021_IntrusionDetectionwithDeepLearning.pdf; http://eprints.utm.my/id/eprint/95312/; http://dx.doi.org/10.11591/ijai.v10.i3.pp735-742

The difficulty of the intrusion detection system in heterogeneous networks is significantly affected by devices, protocols, and services, thus the network becomes complex and difficult to identify. Deep learning is one algorithm that can classify data with high accuracy. In this research, we propose...