ICESS 2024 - Keynote Speeches
The conference will be held in Dec. 13-15, 2024.
Keynote Speeches

Title: AIOT: From Digital-follow-up to Digital-Leadoff

Yunhao Liu

Professor

ACM Fellow , IEEE Fellow

 

ABSTRACT: We have passed the period of Digital-Follow-up, and now we are in Digital Twin, and trying to enter Digital-lead-off of Industrial Internet of Things. I will share lessons learned from our recent implementations of AIOT systems in oil refinery and glass factories in Middle East, United States, and China.

BIO:Yunhao Liu, ACM Fellow , IEEE Fellow, Professor at the Department of Automation in Tsinghua University, Beijing, China. He served as the Dean of School of Software in Tsinghua, and the MSU Foundation Professor and the Chairperson of Department of Computer Science and Engineering in Michigan State University. Yunhao received his B.S. degree in the Department of Automation at Tsinghua University, and an M.A. degree at Beijing Foreign Studies University, China. He received an M.S. and a Ph.D. degree in Computer Science and Engineering at Michigan State University, USA. Yunhao received Hong Kong ICT Best Innovation and Research Award Grand Prize 2007, China Ministry of Education First Class Natural Science Award 2010, Second Class National Natural Science Award 2011, ACM Presidential Award 2013, CCF Wang Xuan Award 2022, as well as many best paper awards including ACM MobiCom 2014 best paper award, ACM SenSys 2021 Best Paper Award, and SIGCOMM 2021 Best Student Paper Award.


Title: The Application of Multi-dimensional Data Association and inTelligent Analysis model (MDATA) at Cyber Range

Yan Jia

Professor

Head of a major project at the National Laboratory ,Chief at the National Engineering Research Center for Industrial Control System Information Security Technology

 

ABSTRACT:This report addresses the global challenge of network attack assessment and innovatively proposes the Multi-dimensional Data Association and inTelligent Analysis model (MDATA) based on the exploration of the temporal, spatial, and semantic relationships inherent in human cognition. It includes the model's components, operating principles, and the methods and technologies for representing, acquiring, and utilizing cybersecurity knowledge. Utilizing this model, comprehensive, accurate, and real-time detection of network attacks has been achieved, along with associated tactical analysis and threat assessment methods. Finally, the successful application of this model at the Pengcheng Federal Cyber Range will be presented.

BIO:Dr. Yan Jia, Professor, currently serves as the head of a major project at the National Laboratory and as the chief at the National Engineering Research Center for Industrial Control System Information Security Technology. She is also the vice president of the Chinese Information Processing Society. Her main research directions include the application of artificial intelligence and big data analysis technologies in the field of cybersecurity. As a project leader, she has undertaken and led over 20 national-level major and key projects. She has received five Second-Class National Science and Technology Progress Awards (ranked 1, 1, 1, 2, 3) and has published more than 320 papers indexed by SCI and EI, authored eight monographs, and obtained over 100 invention patents. She is the principal initiator and committee chair of international forums such as FFD and international conferences including IEEE DSC and CSE.

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