Improving Classification Attacks in IOT Intrusion Detection System using Bayesian Hyperparameter Optimization

Abstract
The growth of the Internet of Things (IoT) presents challenges in the field of security. The Intrusion Detection System is an alternative to protecting the internet of things. In this study, we propose an intrusion detection system model that combines unsupervised algorithm and a deep neural network. Autoencoder as unsupervised learning algorithm has a function as a feature extractor that speeds up the learning process on a deep neural network....
Paper Details
Title
Improving Classification Attacks in IOT Intrusion Detection System using Bayesian Hyperparameter Optimization
Published Date
Dec 10, 2020
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