금일 저희 정보보호대학원에서는 고려대학교 김휘강 교수님을 모시고

"Data-driven intrusion detection methodologies for vehicles" 주제로 아래와 같이 세미나를 개최하고자 합니다.

코로나19 확산방지를 위하여 원격수업으로(ZOOM) 진행할 예정입니다.

= 아 래 =

o 일시

- 20.10.27(화) 16:00~

※ 시작시간 5분전에 준비하여 주세요.

URL: https://zoom.us/j/2902905410

접속 비밀번호: 별도 메일 공지

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Title:   Data-driven intrusion detection methodologies for vehicles
 
Abstract:
In this lecture, I'll explain data-driven and machine learning assisted intrusion detection methodologies for in-vehicle networks. 

First, I'll introduce how to acquire datasets from commercial vehicles and how to discover useful features. 
Then, I'll explain how to detect intrusion and anomalous activities at in-vehicle networks (e.g., controller-area-network). 
Finally, I'll introduce various recent detection algorithms using GAN and LSTM. 
 

Bio:
He is a serial entrepreneur in the information security industry. He founded A3 Security Consulting in 1999 and AI Spera in 2017. He was a technical director (TD) and a head of the information security department of NCSOFT (2004-2010).

Currently, he is a professor in School of Cybersecurity, Korea University. His recent research is focused on solving security problems in automotive industry using AI and Machine Learning . His research group's papers and datasets, especially about in-vehicle IDS and IPS are the most widely used in automotive in-vehicle network security area.