Anomaly Detection Using Deep Neural Network for IoT Architecture

Anomaly Detection Using Deep Neural Network for IoT Architecture

The revolutionary idea of the internet of things (IoT) architecture has gained enormous popularity over the last decade, resulting in an exponential growth in the IoT networks, connected devices, and the data processed therein. Since IoT devices generate and exchange sensitive data over the traditio...

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Bibliographic Details
Main Authors: Zeeshan Ahmad, Adnan Shahid Khan, Kashif Nisar, Iram Haider, Rosilah Hassan, Muhammad Reazul Haque, Seleviawati Tarmizi, Joel J. P. C. Rodrigues
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
IoT architecture
deep neural network
anomaly detection
deep learning
network-based intrusion detection system
Online Access:https://www.mdpi.com/2076-3417/11/15/7050

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https://www.mdpi.com/2076-3417/11/15/7050

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