PDAE: Efficient network intrusion detection in IoT using parallel deep auto-encoders

A survey of the recent architectures of deep convolutional neural networks

(2020) Asifullah Khan et al.   ARTIFICIAL INTELLIGENCE REVIEW

Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

(2020) By Lei Deng et al.   PROCEEDINGS OF THE IEEE

Hybrid Deep Learning for Botnet Attack Detection in the Internet-of-Things Networks

(2020) Segun I. Popoola et al.   IEEE Internet of Things Journal

Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection

(2020) MohammadNoor Injadat et al.   IEEE Transactions on Network and Service Management

A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks

(2020) Osama Alkadi et al.   IEEE Internet of Things Journal

DaaS: Dew Computing as a Service for Intelligent Intrusion Detection in Edge-of-Things Ecosystem

(2020) Parminder Singh et al.   IEEE Internet of Things Journal

Stacked Autoencoder-Based Intrusion Detection System to Combat Financial Fraudulent

(2020) Ghulam Muhammad et al.   IEEE Internet of Things Journal

MSML: A Novel Multilevel Semi-Supervised Machine Learning Framework for Intrusion Detection System

(2019) Haipeng Yao et al.   IEEE Internet of Things Journal

Intrusion Detection Based on Stacked Autoencoder for Connected Healthcare Systems

(2019) Daojing He et al.   IEEE NETWORK

An Ensemble Intrusion Detection Technique based on proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things

(2018) Nour Moustafa et al.   IEEE Internet of Things Journal