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Via leasing spectrum and equipments from telecommunication operators, industry could realize 5G non-public network to enable killer applications such as as intelligent factory. However, the popularity of 5G opensource and cheap software define radio (SDR) platform makes implementation threshold of experimental 5G base stations (BSs) much lower. Adversary could easily adopt such BSs to launch malicious attacks against availability, integrity, and privacy of industrial 5G endpoint devices. For example, the industry competitor can carry the portable rogue BSs to launch DoS attacks to nearby industrial IoT devices. In this case, the 5G module on the device is disable and cannot receive commands to operate, whereby causing significantly damage. In this speech, we demonstrate the the mentioned rogue BS attacks. Moreover, we try to deploy sensors in 5G non-public networks and cooperate with mobile edge computing (MEC) to detect the rogue BS attack and mitigate its negative effects.
Prof. Shin-Ming Cheng received his B.S. and Ph.D. degrees in computer science and information engineering from National Taiwan University, Taipei, Taiwan, in 2000 and 2007, respectively. He was a Post-Doctoral Research Fellow at the Graduate Institute of Communication Engineering, National Taiwan University, from 2007 to 2012. Since 2012, he has been on the faculty of the Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, where he is currently a professor. Since 2017, he has been with the Research Center for Information Technology Innovation, Academia Sinica, Taipei, where he is currently a Joint Appointment Associate Research Fellow.
His current interests are security mechanism design and application development in the following areas:
Since 2015, he leads an Advanced Information Security Summer School (AIS3) project and incubates more than 1000 security young talnets in Taiwan. He received 2014 K. T. Li Young Researcher Award from ACM Taipei/Taiwan Chapter, IEEE PIMRC 2013 and IEEE Trustcom 2020 Best Paper Award, CISC 2020 and 2021 Best Paper Award, and 2013 Young Scholar Award from National Taiwan University of Science and Technology.