Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection-Reference-Cited by-同舟云学术

Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection

Published:2021-12-15 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Big Data (Big Data)
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Author:

Masum Mohammad,Shahriar Hossain,Haddad Hisham,Faruk Md Jobair Hossain,Valero Maria,Khan Md Abdullah,Rahman Mohammad A.,Adnan Muhaiminul I.,Cuzzocrea Alfredo,Wu Fan

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9671263/9671273/09671576.pdf?arnumber=9671576

Reference20 articles.

1. Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection

2. Detecting Botnet Attacks in IoT Environments: An Optimized Machine Learning Approach

3. Empirical study on multiclass classification‐based network intrusion detection

4. Accelerated deep neural networks for enhanced Intrusion Detection System

5. Deep learning approach for cyberattack detection

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