Keynote Speaker

Fuchun SUN

Qinghua University, China

Jiankun Hu

University of New South Wales Canberra, Australia

Title: A New False Data Injection Attack on Smart Grid

Abstract: Smart grid is an emerging energy system, which has been heralded as a technological paradigm shift that can effectively address the issue of limited fossil fuel reserve in earth and also can reduce carbon emissions. However, modern cyber interconnected and computerized energy infrastructure has become the most targeted national critical infrastructure for cyberattacks. A recent high-profile cyberattack on the Ukraine power grid has compromised three power control centres, taking down 30 substations and leaving over 225,000 Ukrainians without power. Other high-profile attacks include penetrations over two US nuclear plants and the Struxnet attack over Iranian nuclear plant. Recently a new type of cyberattack called the false-data-injection attack has been discovered which can evade the widely deployed bad data detection method in the emerging smart grid (SG). Most existing works on false data injection attacks are based on the DC model while real-life industrial systems are actually AC model based. We have investigated the applicability of existing research works on the industrial scale system and discover a new false data injection attack that can penetrate industrial scale bad data detection mechanism.

Dr. Jiankun Hu is a full professor of Cyber Security at School of Engineering and IT, University of New South Wales Canberra, Australia (also named Australian Defense Force Academy). He has obtained the Bachelor degree, Automation and Control, 1983, from Hunan University, P.R. China; Ph.D. Control Engineering, 1993, from Harbin Institute of Technology, P.R. China. He has also obtained his Masters from the Software Engineering, Monash University Australia in 2001. He was awarded German Alexander von Humboldt Foundation Fellowship. He is the invited expert of Australia Attorney-General’s Office on identity management, and served at the Panel of Mathematics, Information and Computing Sciences (MIC), ARC ERA (The Excellence in Research for Australia) Evaluation Committee 2012. He has served as Co-Chair for Network Security Symposiums of IEEE ICC and IEEE Globecom. He is an associate editor at IEEE Transactions on Information Forensics and Security. Prof. Hu has been awarded 9 ARC (Australia Research Council) grants. His research interest includes data-driven cyber security (intrusion detection), fingerprint recognition/forensics, bio-cryptography,machine learning and applied cryptography. His research works have been published at many top venues such as IEEE Transactions on Pattern Analysis
and Machine Intelligence, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Smart Grid, IEEE Transactions on Parallel and Distributed Systems (TPDS), and IEEE Transactions on Computers.

Quanbo Ge

Tongji University, China

Title: Power IoT System in Smart City

Abstract: The city is having a property with unified logic in the big data and AI period. Industrial ecology, business scenario and service, and government management model should be deeply affected by advanced information technology based on 5G and IoT cloud platform. The system constructed by data production and feedback process is non-standard and complex when data gets to the platform from collection devices, sensing and communication. Thereby, it is necessary and difficult in scientific application research to detect and identify the quality problem from the business end data. Most of current researches tried to do case analysis and experience summary and analyzed the reasons of special error production for given device styles. This talk mainly discusses abnormal alarm and fault analysis on IoT devices such as Intelligent electric meter and gateway by introducing intelligent technology in the smart city background. Actually, it tries to solve some problems existed in power IoT system by using the fusion of knowledge, data and model driven ways. The content mainly includes hardware development, location of system faults, and evaluation on communication quality, and abnormal time sequence processing and so on. For the hardware development, some power monitoring device and system have been designed. Secondly, the fault identification method based on data-driven model is presented by using fault characters of power system. Thirdly, the communication quality evaluation begins for fault state space of single IoT device. The abnormal processing on time sequence includes filling missing data and abnormal identification based on prediction frame. The works mentioned above form a general system to solve IoT data quality problem in smart scene. It is greatly helpful for smart video analysis and service, and provides a base for businesses such as smart power, transportation, and security and so on.

Quanbo Ge is a researcher and a Ph.D supervisor in Tongji University of China. He was also a young candidate of the “Ten-thousand Talents Program” in Zhejiang Province of China and was one of excellent postdoctoral fellows in Zhejiang Province (2017). From Jan.2012 to Jan.2013, he was a visiting scholar of the Department of Electronics and Computer Engineering in the University of Minnesota. He received the 4th Young Scientist Award of China Automation Society and is supported by Zhejiang Outstanding Youth Science Fund in 2016. His main research interests include smart Kalman filtering, information fusion, energy internet and autonomous unmanned system and so on. He has published more than 30 SCI papers including IEEE TAC, IEEE TNNLS, IEEE TIE, IEEE TSMC:Systems, IET CTA, and AMC and so on. The work has been supported by more than ten projects such as NSFC, Zhejiang Province Nature Science Foundation, and China Postdoctoral Science Foundation and so on. Dr. Ge is also one of deputy directors of the CYA of the China Automation Association (CAA), a member of the Intelligent Automation Committee of CAA, and one of deputy secretaries of the Hybrid Intelligent Committee and so on.

Invite Speaker

Qiyue Yu

Harbin Institute of Technology, China

Title: A Unified Multiuser Coding Framework for Multiple Access Technologies

Abstract: The core of the NOMA techniques is to combine modulation and coding to achieve a higher spectrum efficiency. In our work, multiple access techniques are viewed as generalized coding schemes to support both multiuser separation and coding gain. In this sense, traditional coding schemes, e.g., low-density parity-check (LDPC) code, can be viewed as a special case. Note that still a big difference exists between multiple access techniques and LDPC codes. In particular, both binary and non-binary LDPC codes are generated based on finite field theory; whereas multiple access works based on not necessarily a finite field. This work presents a mathematical framework, called "multiuser coding", to unify multiple access and traditional coding theories. To verify the proposed framework, we propose a uniquely decodable mapping (UDM) based codebook for futuristic multiple access communications. A three-dimensional Tanner graph based message passing algorithm (MPA) is introduced for multiuser detection. Simulation results show that the proposed scheme can support a large number of users with a promising performance.

Dr. Qiyue Yu, received her B. Eng., M. Eng., and Ph.D. degrees from Harbin Institute of Technology (HIT), China, in 2004, 2006, and 2010, respectively.
She is currently a full professor at the school of Electronics and Information Engineering, HIT. During Apr. 2007-Mar. 2008, she studied in Adachi Lab, Tohoku University, Japan and was a research assistant of Tohoku University Global COE program. In 2010, she was invited to City University of Hong Kong to research on multi-user MIMO technology. And she was invited to University of Southern Queensland to do researches on the distributed antenna system in Jan.-Mar. 2014. During Sept.2015-Sept.2016, she was a visiting scholar in University of California, Davis. Her research interests include modulation and coding, information theory, multi-access techniques and MIMO for broadband wireless communications.