Date：2025/9/19 14:20-15:30
Location：R103, CSIE
Speakers：林盈達
Host：林風教授
Abstract:
AI has stepped into cybersecurity to better recognize the footprints of attack techniques, lifecycles (kill chains), and even disinformation and scam on social networks. AI itself also becomes the target of adversarial attacks as it is heavily used in various classification and generative applications. In this talk, I highlight research works done in National Institute of Cyber Security (NICS) and in my own lab at National Yang Ming Chiao Tung University (NYCU). At NICS, there are related research on (1) correlating sighting data and intelligence data for recognizing kill chains, (2) analyzing social network behaviors for anti-disinformation and anti-scam, (3) testing generative AI and classification AI for product certification. We also select a few research works done at NYCU: (1) network and host sighting to recognize attack techniques and kill chains, (2) cyber threat intelligence to trace attack path, (3) adversarial attack and defense when AI itself is used in intrusion detection.
Biography:
Ying-Dar Lin is Chair Professor of Computer Science at National Yang Ming Chiao Tung University (NYCU), and also President of National Institute of Cyber Security (NICS), Taiwan. He received his Ph.D. in computer science from the University of California at Los Angeles (UCLA) in 1993. He was a visiting scholar at Cisco Systems in San Jose during 2007–2008, CEO at Telecom Technology Center, Taiwan, during 2010-2011, and Vice President of National Applied Research Labs (NARLabs), Taiwan, during 2017-2018. He cofounded L7 Networks Inc. in 2002, later acquired by D-Link Corp. He also founded and directed Network Benchmarking Lab (NBL) from 2002, which reviewed network products with real traffic and automated tools, also an approved test lab of the Open Networking Foundation (ONF), and spun-off O'Prueba Inc. in 2018. His recent research interests include machine learning for cybersecurity, wireless communications, network softwarization, and mobile edge computing. His work on multi-hop cellular was the first along this line, and has been cited over 1000 times and standardized into IEEE 802.11s, IEEE 802.15.5, IEEE 802.16j, and 3GPP LTE-Advanced. He is an IEEE Fellow (class of 2013), IEEE Distinguished Lecturer (2014–2017), ONF Research Associate (2014-2018), and received K. T. Li Breakthrough Award in 2017 and Research Excellence Award in 2017 and 2020. He has served or is serving on the editorial boards of many IEEE journals and magazines, including Editor-in-Chief of IEEE Communications Surveys and Tutorials (COMST) with impact factor increased from 9.22 to 25.3 during his term (2017-2020). He published a textbook, Computer Networks: An Open Source Approach, with Ren-Hung Hwang and Fred Baker (McGraw-Hill, 2011).