AI Enabled Learning Architecture Using Network Traffic Traces over IoT Network
Published in Wireless Communications and Mobile Computing, 2023
Recommended citation: Nagender Aneja, Sandhya Aneja, Bharat Bhargava "AI Enabled Learning Architecture Using Network Traffic Traces over IoT Network." Wireless Communications and Mobile Computing, 2023. vol. 2023 doi: 10.1155/2023/8658278 https://www.hindawi.com/journals/wcmc/2023/8658278/
AI-Enabled-Learning-Architecture-Using-Network-Traffic-Traces-over-IoT-Network
AI-Enabled-Learning-Architecture-Using-Network-Traffic-Traces-over-IoT-Network
(Journal Publication)
Abstract: This research describes IoT device testbeds to collect network traffic in a local area network and cyberspace, including traffic traces beyond 5G/6G at different layers. We also describe research problems and challenges, such as traffic classification and traffic prediction by the traffic traces of devices. An AI-enabled hierarchical learning architecture for the problems above using sources like network packets, frames, and signals from the traffic traces with machine learning models is also presented.
Recommended citation: ‘Nagender Aneja, Sandhya Aneja, Bharat Bhargava "AI Enabled Learning Architecture Using Network Traffic Traces over IoT Network." Wireless Communications and Mobile Computing, 2023. vol. 2023 doi: 10.1155/2023/8658278’