报告题目：Intrusion Detection in the Automotive Domain: Challenges and New CAN Datasets

主讲人： 蒙威志 教授

报告时间：2025年11月19日（星期三）10:00-11:30

报告地点：厦门大学翔安校区西部片区正信楼108会议室

报告摘要：

The automotive domain has realized amazing advancements in communication, connectivity, and automation—and at a breakneck pace. Such advancements come with ample benefits, such as the reduction of traffic accidents and the refinement of transit efficiency. However, these new developments were not necessarily made with security in mind. This talk will first introduce the automotive background and then present the attack vectors. For defence, this talk will introduce traditional solutions, especially intrusion detection methods and new CAN datasets. In the end, this talk will summarize the open challenges.

报告人照片

报告人简介：

Weizhi Meng is a Full Professor in the School of Computing and Communications, Lancaster University, United Kingdom. He obtained his Ph.D. degree in Computer Science from the City University of Hong Kong. He was a recipient of the Hong Kong Institution of Engineers (HKIE) Outstanding Paper Award for Young Engineers/Researchers in both 2014 and 2017. He also received the IEEE ComSoc Best Young Researcher Award for Europe, Middle East, & Africa Region (EMEA) in 2020, and the IEEE HITC Award for Excellence for Middle Career Researchers in 2023. Due to his leading activities in Region 8, he received the IEEE MGA Young Professionals Achievement Award in 2020. His primary research interests are blockchain technology, cyber security and artificial intelligence in security including intrusion detection, blockchain applications, smartphone security, biometric authentication, and IoT security. He serves as associate editors / editorial board members for many reputed journals such as IEEE TDSC and IEEE TIFS, as well as general chair for various international conferences such as ACM CCS 2023 and ESORICS 2022. He is an ACM Distinguished Speaker.

邀请人：信息与通信工程系 肖亮教授