时间:2018-07-02 16:26:11


Cybersecurity Dynamics: New Progresses


时间:     74日下午3:00






The Cybersecurity Dynamics framework we initiated aims to build a systematic foundation for modeling, analyzing, and quantifying cybersecurity from a holistic perspective. The framework offers a systematic x-y-z-t “coordinate system” for exploring cybersecurity, where the x-axis represents first-principle modeling, the y-axis represents data analytics, the z-axis represents metrics, and the t-axis represents time (meaning that everything evolves over time). The framework is multidisciplinary because it cuts across disciplines including Computer Science (including Security), Applied Mathematics (broadly defined, including Stochastic Processes, Dynamical Systems, Control Theory, Game Theory), Statistics, Statistical Physics, Complexity Science, and Network Science. In this talk, I will review the recent advancement in each of the x-y-z axes. Please refer to http://www.cs.utsa.edu/~shxu/socs/index.html for more information about this exciting research endeavor. 







Shouhuai Xu is a Full Professor in the Department of Computer Science, University of Texas at San Antonio. He is the founding Director of the Laboratory for Cybersecurity Dynamics (http://www.cs.utsa.edu/~shxu/socs). He is interested in both theoretical and practical cybersecurity research. His research has been funded by AFOSR, ARL, ARO, NSF and ONR. He co-initiated the International Conference on Science of Cyber Security (http://www.sci-cs.net/), the first edition of which (SciSec’2018) will be held in Beijing, August 12-14, 2018.  He also co-initiated the ACM Scalable Trusted Computing Workshop (ACM STC). He is/was a Program Committee co-chair of SciSec’18, ICICS’18, NSS’15 and Inscrypt’13. He has served on the Program Committees of numerous international conferences. He was/is an Associate Editor of IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), IEEE Transactions on Information Forensics and Security (IEEE T-IFS), and IEEE Transactions on Network Science and Engineering (IEEE TNSE). He received his PhD in Computer Science from Fudan University.

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