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Yilin Zhao

Xidian University

Projects

GVIDS 2021/6 - 2022/3

· Designed an intelligent vehicular intrusion detection system based on GAN, which can not only detect all the current automobile injection attacks and Dos attacks, but also detect our newly proposed ×× attack.
· Responsible for the design and implementation of intrusion detection system, including scheme design, algorithm selection, network structure optimization, experimental evaluation, etc.

ClockIDS 2021/2 - 2021/9

· Designed an intrusion detection system suitable for automobile CAN bus, and the detection rate was up to 98.39%; At the same time, it can also identify the device controlled by the attacker, with an average recognition rate of 96.41%.
· Responsible for system design and implementation, including scheme design, algorithm selection, experimental evaluation, etc.

VehicleEIDS 2020/9 - 2021/6 (Chinese Patent)

· Designed the vehicle-mounted external intrusion detection system, which is not limited by the means of packet injection by attackers, with an accuracy of up to 97%.
· Responsible for system implementation, including calculation and distribution selection and implementation, experimental evaluation, achievement protection, etc.