Abstract

Big data raises great challenges to security and privacy due to multiple data sources and formats, large-scale cloud infrastructure, and diversity of software platforms. IoT and Industry 4.0 are the major sources of generating big data and, furthermore, as the increase in connected devices, create more opportunities for security and privacy risks. In this talk, I will focus on the privacy issues in IoT and Industry 4.0 that must be solved in order to reach mass adoption. I will also describe the solution approaches to address these issues.

Speaker

Prof. Cao Jiannong
Chair Professor, Director of Internet and Mobile Computing Lab, Department of Computing
Hong Kong Polytechnic University

Dr. Cao is currently a Chair Professor of Department of Computing at The Hong Kong Polytechnic University, Hong Kong. He is also the director of the Internet and Mobile Computing Lab in the department and the director of University’s Research Facility in Big Data Analytics. His research interests include parallel and distributed computing, wireless sensing and networks, pervasive and mobile computing, and big data and cloud computing. He has co-authored 5 books in Mobile Computing and Wireless Sensor Networks, co-edited 9 books, and published over 500 papers in major international journals and conference proceedings. Dr. Cao is a fellow of IEEE and ACM distinguished member. He served the Chair of the Technical Committee on Distributed Computing of IEEE Computer Society 2012-2014, a member of IEEE Fellows Evaluation Committee of the Computer Society and the Reliability Society, a member of IEEE Computer Society Education Awards Selection Committee, a member of IEEE Communications Society Awards Committee, and a member of Steering Committee of IEEE Transactions on Mobile Computing. Dr. Cao has served as chairs and members of organizing and technical committees of many international conferences, and as associate editor and member of the editorial boards of many international journals.