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Privacy and Security Management Framework for Internet of Things

Time:2018-12-12 15:57  click:

Topic:Privacy and Security Management Framework for Internet of Things

Date:Dec.17, 3:30pm

Place:Rm 1109,OECE Building

Lecturer:Chunhua Su(University of Aizu,Japan)

Invited by:Liu Ya

Abstract:The rapid evolution of Internet of Things (IoT) brings ubiquitous applications in our society. In IoT-enable eHealth environment, the devices are collects and processes personal bio-data, such as heartbeat, brain-weaves and body-temperature, and environment parameters, such as GPS information, temperature and humidity, can be successfully and correctly retrieved and analyzed to support new types of IoT-based service applications. Especially, the development of intelligent wearable IoT device follows this trend and its advancement has become one of the most potentially valuable market focuses. Meanwhile, the security and privacy are of main concern and paramount importance at this stage. This talk will introduce a trusted IoT framework consisting of versatile security protection and privacy-aware mechanisms. Techniques to fortifying robust IoT platforms with Bluetooth Low Energy objects will be given.

Lecturer Resume:The speaker Chunhua Su received the B.S. degree for Beijing Electronic and Science Institute in 2003 and received his M.S. and PhD of computer science from Faculty of Engineering, Kyushu University in 2006 and 2009, respectively. He is currently working as an Associate Professor in Division of Computer Science, University of Aizu. He has worked as a research scientist in Cryptography & Security Department of the Institute for Infocomm Research, Singapore from 2011-2013. From 2013-2016, he has worked as an Assistant professor in School of Information Science, Japan Advanced Institute of Science and Technology. From 2016-2017, he worked as Assistant Professor in Graduate School of Engineering, Osaka University. His research interests include cryptanalysis, cryptographic protocols, privacy-preserving technologies in data mining and IoT security & privacy.

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