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                          控制繫系列學術報告:Optimization and Security in Cyber-Physical-System
                          時間:2014-05-26 來源:綜合辦 編輯:zhbgs 訪問次數:3839

                          主題:Optimization and Security in Cyber-Physical-System

                          時間:5月29日 星期四 下午2:00
                          地點:钱柜游戏玉泉校區教九207會議室

                          報告會議程:

                          時間

                          報告人

                          報告題目

                          14:00-14:45

                          Prof. Junshan   Zhang

                          Social Group Utility Maximization   Game: A New Paradigm for Mobile Social Networks

                          14:45-15:30

                          Prof. David   Yau

                          Cyber-Physical Security in   Future Cities

                          15:30-16:00

                          茶歇

                          16:00-16:45

                          Prof. Yu Cheng

                          Real-Time Intrusion Detection   for Multimedia Applications over Wireless Networks

                          16:45-17:30

                          Prof. Lei Ying

                          Locating Contagion Sources in   Networks

                          學術報告一:Social Group Utility Maximization Game: A New Paradigm for Mobile Social Networks
                          Abstract:
                          Mobile traffic is projected to continue growing rapidly in the foreseeable future. Different from other networks (e.g., sensor networks), a salient feature of mobile networks is that mobile devices are carried and operated by human beings. With the explosive growth of online social networks, social relationships are shaping people’s interactions in an unprecedented manner. With this insight, we develop a social group utility maximization (SGUM) game framework that takes into account both social coupling and physical coupling among mobile users. Under the SGUM framework, each user aims to maximize its social group utility, defined as the weighted sum of the individual utilities of the users that have social ties with it. One distinctive merit of the SGUM framework is that it provides a unifying platform to capture complex social structure among mobile users, consisting of diverse “positive” and “negative” social ties, and hence it offers rich flexibility in modeling and understanding the rich continuum from zero-sum game (ZSG) to  non-cooperative game (NCG) to network utility maximization (NUM) - traditionally disjoint paradigms for network management.  We will also touch upon related privacy and security issues.

                          Bio:
                          Junshan Zhang received his Ph.D. degree from the School of ECE at Purdue University in 2000. He joined the School of ECEE at Arizona State University in August 2000, where he has been Professor since 2010. His interests include cyber-physical systems, communications networks, and network science. His current research focuses on fundamental problems in information networks and energy networks, including modeling and optimization for smart grid, network optimization/control, mobile social networks, crowdsourcing, cognitive radio, and network information theory.
                          Prof. Zhang is a fellow of the IEEE, and a recipient of the ONR Young Investigator Award in 2005 and the NSF CAREER award in 2003. He received the Outstanding Research Award from the IEEE Phoenix Section in 2003. He co-authored two papers that won the Best Paper Runner-up Award of IEEE INFOCOM 2009 and IEEE INFOCOM 2014, and a paper that won IEEE ICC 2008 Best Paper Award. He was TPC co-chair for a number of major conferences in communication networks, including INFOCOM 2012, WICON 2008 and IPCCC'06, and TPC vice chair for ICCCN'06. He was the general chair for IEEE Communication Theory Workshop 2007. He was an Associate Editor for IEEE Transactions on Wireless Communications, an editor for the Computer Network journal and an editor IEEE Wireless Communication Magazine. He is currently serving as an editor-at-large for IEEE/ACM Transactions on Networking and an editor for IEEE Network Magazine. He is a Distinguished Lecturer of the IEEE Communications Society.


                          學術報告二:Cyber-Physical Security in Future Cities
                          Abstract:
                          Digital control and communication are being used to modernize urban infrastructures, such as electrical grids and water systems, to meet the increasing demands of future cities for size, performance, and sustainability. While the added intelligence provides desirable performance features, it also adds to the system's complexity, which raises equally critical concerns for safety and security. In this talk, I will overview research that analyzes cyber-physical system (CPS) vulnerabilities such as real-time consumer pricing in emerging smart-grid demand response. I will also propose a design methodology to monitor the (not fully trustworthy) high performance operation of a smart grid, but assure its fallback to a simple and safe operation mode when the system drifts too close to unsafety.

                          Bio:
                          David Yau received the B.Sc. (first class honors) from the Chinese University of Hong Kong, and M.S. and Ph.D. from the University of Texas at Austin, all in computer science. He has been Professor of Informations Systems Technology and Design at SUTD since 2013. Since 2010, he has been Distinguished Scientist at the Advanced Digital Sciences Center, Singapore, where he leads the Smart Grid IT research program. Prior to Singapore, he was Associate Professor of Computer Science at Purdue University (West Lafayette), USA.
                          David’s research interests are in network protocol design and implementation, CPS security and privacy, quality of service, network incentives, and wireless and sensor networks. He received a CAREER award from the U.S. National Science Foundation. He was also the recipient of an IBM PhD Fellowship. He won Best Paper award from the 2010 IEEE International Conference on Multi-sensor Fusion and Integration (MFI). His papers in 2008 IEEE Int'l Conf. Mobile Ad-hoc and Sensor Systems (MASS), 2013 IEEE Int'l Conf. Pervasive Computing and Communications (PerCom), 2013 IEEE Int'l Conf. Cyber-Physical Systems, Networks, and Applications (CPSNA), and 2013 ACM BuildSys were Best Paper finalists.


                          學術報告三:Real-Time Intrusion Detection for Multimedia Applications over Wireless Networks
                          Abstract:
                          With the increasing coverage of the IEEE 802.11 based wireless networks, the voice/video multimedia applications over wireless networks are drawing more interest in both academia and industry. Due to the openness and distributed nature of the protocols utilized by the technologies, it becomes easy for malicious users on the networks to achieve their own gain or disrupt the service by deviating from the normal protocol behaviors. The stringent QoS requirements of the multimedia applications require us to detect the malicious behavior in real time after it occurs. In this talk, we present our recent studies on real-time intrusion detection techniques that can quickly track down the malicious behaviors which take advantage of vulnerabilities from either upper-layer signaling protocols or the underlying 802.11 protocols. While existing detection schemes mainly depend on heuristic parameter configuration and experimental performance evaluation, which largely limits the flexibility and robustness of those schemes, we develop an analytical model to theoretically study the performance of our detection scheme and guide the detection system configuration for guaranteed performance.

                          Bio:
                          Yu Cheng received the B.E. and M.E. degrees in Electronic Engineering from Tsinghua University, Beijing, China, in 1995 and 1998, respectively, and the Ph.D. degree in Electrical and Computer Engineering from the University of Waterloo, Waterloo, Ontario, Canada, in 2003. From September 2004 to July 2006, he was a postdoctoral research fellow in the Department of Electrical and Computer Engineering, University of Toronto, Ontario, Canada. Since August 2006, he has been with the Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, Illinois, USA, and he is now an Associate Professor. His research interests include next-generation Internet architectures and management, wireless network performance analysis, network security, and wireless/wireline interworking. He received a Postdoctoral Fellowship Award from the Natural Sciences and Engineering Research Council of Canada (NSERC) in 2004, and a Best Paper Award from the conferences QShine 2007 and ICC 2011. He received the National Science Foundation (NSF) CAREER AWARD in 2011 and IIT Sigma Xi Research Award in the junior faculty division in 2013. He served as a Co-Chair for the Wireless Networking Symposium of IEEE ICC 2009, a Co-Chair for the Communications QoS, Reliability, and Modeling Symposium of IEEE GLOBECOM 2011, a Co-Chair for the Signal Processing for Communications Symposium of IEEE ICC 2012, a Co-Chair for the Ad Hoc and Sensor Networking Symposium of IEEE GLOBECOM 2013, and a Technical Program Committee (TPC) Co-Chair for WASA 2011. He is a founding Vice Chair of the IEEE ComSoc Technical Subcommittee on Green Communications and Computing. He is an Associated Editor for IEEE Transactions on Vehicular Technology and the New Books & Multimedia Column Editor for IEEE Network.


                          學術報告四:Locating Contagion Sources in Networks
                          Abstract:
                          Who leaked classified information or started a rumor on online social networks? Who uploaded contraband materials to the Internet? Where are the sources of epidemics? These questions are of great importance to the world’s safety and security, but are difficult to answer. In this talk, I will introduce a sample path based approach, which is to identify the most likely sample path and view the source of the optimal sample path as the information source. I will present some recent results based on the sample path based approach, including fundamental theories, high performance algorithms, and evaluations using real world networks.

                          Bio:
                          Lei Ying received his B.E. degree from Tsinghua University, Beijing, China, and his M.S. and Ph.D in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign. He currently is an Associate Professor at the School of Electrical, Computer and Energy Engineering at Arizona State University, and an Associate Editor of the IEEE/ACM Transactions on Networking.
                          His research interest is broadly in the area of stochastic networks, including social networks, cloud computing, and communication networks. He is coauthor with R. Srikant of the book “Communication Networks: An Optimization, Control and Stochastic Networks Perspective”, Cambridge University Press, 2014.
                          He won the Young Investigator Award from the Defense Threat Reduction Agency (DTRA) in 2009 and NSF CAREER Award in 2010. He was the Northrop Grumman Assistant Professor in the Department of Electrical and Computer Engineering at Iowa State University from 2010 to 2012.