Industry 4.0, known as the fourth industrial revolution, is a vision of smart factories developed based on intelligent cyber-physical systems. It greatly boosts the development of automation and data exchange in manufacturing technologies, which includes cyber-physical systems, the Internet-of-things (IoT) and cloud computing. Security challenges specific to Industry 4.0 are due to the enormous complexity in managing information, increased connectivity, decentralized control and real-time decision of manufacturing systems. There are a number of methods based on machine learning which are developed to deal with these challenges but their accuracy still need to improve. In this research, we are on the way to develop a cyberattack detection model which can analyze the local data in various locations. The combination analyzing data from different locations could exchange the “knowledge” to improve the accuracy as well as reduce the information disclosure as well as network traffic in exchanging data among the IoT gateways.
Speaker: ThS. Trần Việt Khoa, AVITECH
Time: 15:30, Tuesday, December 01, 2020
Venue: G2-315, 144 Xuan Thuy, Cau Giay, Hanoi
Tran Viet Khoa completed B.Sc. degree in Electronics and Telecommunications from University of Engineering and Technology (UET), Vietnam National University (VNU) in 2008. He received M. Sc degree of Paris-sud 11, France in 2010, in a join program between VNU and France. After that, Mr Khoa has eight years working as network engineer in two largest telecommunication companies in Vietnam – EVN Telecom and Viettel Network Corporation about networking and security systems. Now he has been a Ph.D. student at VNU- UET since June 2019. His research interests include IoT, Deep learning, Cyberattack detection.