报告题目：Building Trust against Insider Attacks in IoT Networks
报告地点：腾讯会议 692 706 160
报告华体会网页版登陆入口：2021年10月13日16:00-17:00
报告摘要：
Internet of Things (IoT) empowers the connected world by allowing the connection among various objects such as physical devices, sensors, controllers and more. However, due to the distributed nature, insider threats are a big challenge, in which the internal malicious nodes can compromise the IoT environments. Hence there is a great need to design appropriate trust management mechanisms to help identify malicious nodes by establishing a trust map. This talk will introduce a consensus-based trust scheme in detecting multiple-mix-attack malicious nodes, present how to combine intrusion detection with trust management, and discuss the main challenges for designing a suitable trust management scheme.
个人简介：
Dr. Weizhi Meng is currently an Associate Professor in the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU), Denmark. He obtained his Ph.D. degree in Computer Science from the City University of Hong Kong (CityU), Hong Kong. Prior to joining DTU, he worked as a research scientist in Institute for Infocomm Research, A*Star, Singapore. He won the Outstanding Academic Performance Award during his doctoral study, and is a recipient of the Hong Kong Institution of Engineers (HKIE) Outstanding Paper Award for Young Engineers/Researchers in both 2014 and 2017. His primary research interests are cyber security and intelligent technology in security, including intrusion detection, IoT security, biometric authentication, trust management, and blockchain. He is the Chair of IEEE Young Professionals Affinity Group in Denmark.
