学术报告:Towards Trust-based Collaborative Intrusion Detection in Internet of Things

发布人:张艺凡发布时间:2022-06-20动态浏览次数:10

讲座时间:2022年6月20日星期一下午3:30 pm (北京时间)

讲座地点:线上腾讯会议(会议ID: 609 192 394, 会议链接:https://meeting.tencent.com/dm/I3vrheLOJP9K)

 

主讲人:Weizhi Meng, Technical University of Denmark

Title: Towards Trust-based Collaborative Intrusion Detection in Internet of Things

 

内容简介:With the tremendous development of Internet of Things (IoT), many security concerns have been raised. For protection, collaborative Intrusion detection techniques (e.g., CIDS) are a basic and important solution. However, due to the distributed nature, insider threats are a big challenge that 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 keynote will introduce the background of collaborative intrusion detection in IoT networks, discuss the state-of-the-art on how to combine trust management with CIDS, and share our vision regarding how to build robust collaborative intrusion detection under large-scale IoT networks, and in the era of big data.

 

主讲人简介: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 China. Prior to joining DTU, he worked as 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, smartphone security, biometric authentication, trust management, blockchain technology, and IoT security. He is an ACM Distinguished Speaker.