Industry 4.0 has several achievements in many domains such as manufacturing, agriculture, and healthcare. The Internet of Things (IoT) devices act as a very important role in Industry 4.0 in collecting information from the online-working system, however, they easily suffer from cyber-attacks due to their direct Internet connection. In this talk, we present a proposed model that combines blockchain technology and deep learning to secure IoT systems from cyber-attacks. Through experimental results, the various kinds of attacks are firstly detected by a federated learning network model with decentralized sensitive datasets. Then, the core of the systems is protected by an effective private Ethereum blockchain network from cyberattacks. Our setup is examined with the support of numerical experiments. Moreover, the result from this study also suggests that the model can be applied to any system to store data in the Ethereum network
Speaker: Dr. Tran Thi Thuy Quynh, VNU Univ. Eng. Tech.
Time: 15:30, Tuesday, August 31, 2021
Venue: Webinar; Access code: https://bit.ly/3yovNyY
Tran Thi Thuy Quynh was born in Hanoi, Vietnam. She received B.Sc, M.Sc , and PhD. Degree from VNU – University of Engineering and Technology in 2001, 2005, and 2016. She is a researcher at Department of Wireless Communications, Faculty of Electronics and Telecommunications, VNU-UET. She is interested in designing of microwave components and antennas, and array signal processing.