Raimo KantolaProfessor of Networking Technology, Aalto University, Finland
Cooperative Security for 5G/6G and the Internet
Abstract: The talk describes the idea of cooperative security for the Internet and 5G/6G. The idea of cooperative security is that all good guys would cooperate automatically to mitigate all hacking over the Internet sharing evidence of misbehaviour, constraining detected infected hosts and deploying security patches as quickly as they become available. The talk outlines the solution called Customer Edge Switching as an implementation of cooperative security. The talk discusses the architecture and describes briefly some use cases under real world constraints. The technical details can be found in www.re2ee.org and naturally e.g. in IEEE Explore. The concepts presented in the talk have been proven by Proof of Concept or running code level experimental implementation published in GitHub/Aalto5G. We encourage it’s use in further experimentation. Our current work is targeted at optimizing the body of running code and learning from use cases in 5G vertical networks.
Biography: Raimo Kantola has a D.Tech degree in computer science from Helsinki University of Technology, Finland. He is a professor in networking technology at department of Comnet, Aalto University, Finland. His research interests include SDN, customer edge switching, trust in networks and cloud security.
LAAS-CNRS, University of Toulouse, France
Semantic interoperability for IoT Platforms
Abstract: Recent advances in information and communication technologies include virtualization both at the processing and the communication levels as well as interoperability at the different interaction levels. The progress in networking encompasses Machine-to-Machine (M2M) communications for Internet of Things and Big Data traffic that constitute active research and standardization activities in Europe by ETSI, and around the world by OneM2M. The design and deployment of interoperable IoT platforms based on open systems and interfaces are identified as enablers for the digital market. The strategic application domains include e-heath, connected and automated vehicles, advanced dynamic manufacturing, energy management and smart homes, buildings and cities. IoT Systems provide advantages in all these various domains. This fast-growing ecosystem is leading IoT towards a promising future. However, IoT systems expansion opportunities are not straightforward. A set of challenges should be overcome to enable IoT mass-scale deployment across various domains including interoperability, autonomy, and scalability issues. This talk aims at giving an overview of these challenges. Recent international standardization and R&D initiatives will be investigated. Future directions will be highlighted.
Biography: Khalil DRIRA received the Engineering and M.S. (DEA) degrees in Computer Science from ENSEEIHT (INP Toulouse, France), in 1988. He obtained the Ph.D. and HDR degrees in Computer Science from UPS, University Paul Sabatier Toulouse, France in 1992, and 2005 respectively. He joined CNRS, the French National Center for Scientific Research, in 1993 as a researcher. He is, since Oct 2010, Research Director, a full-time research position at CNRS. Khalil DRIRA’s research interests include formal design, implementation, testing and provisioning of distributed communicating systems and cooperative networked services. He is or has been involved in several national and international projects in the field of distributed and concurrent communicating systems. He is author of more than 150 regular and invited papers in international conferences and journals. He is member of the editorial board of many international journals in the field of software architecture and communicating and distributed systems. Khalil DRIRA has been editor of a number of proceedings, books and journal special issues in these fields.
President, FarEasTone, Taiwan
Telco’s Digital Transformation & 5G
Abstract: Global telecom market penetration is getting saturated. The industry is facing severe market competition and threats from Internet giants and other OTT players.
FarEasTone, like the most of worldwide leading telco operators, is transforming from a traditional telecom operator to a digital service and enterprise solution provider to open up new economy opportunities. FarEasTone has adopt Big Data analytics , Artificial Intelligence, and Internet of Things (IoT) as core capabilities and competitive advantages. For instance, building up own IoT platform to capture new revenue streams and applying AI technology to fraud detection for revenue loss prevention.
5G as a revolutionary technology is enabling new applications like high quality entertainment services in consumer segment and vertical solutions in enterprise sector, which is becoming the new blue ocean for the telcos.
Biography: Dr. Chee Ching joined FarEasTone in Sep. 2018 as the Chief Transformation Officer and was appointed as the President since Jan. 2019. Her current priority is on the strategy implementation of “Fit, Transform and Grow”, building 5G, Big Data, AI & IoT capabilities, and accelerating FET’s transformation into digital services & advanced ICT Enterprise Solutions provider, beyond traditional telecom services. Chee brought to FarEasTone more than 23 years of rich experience in network operations and IT management in AT&T. Her professional background spans from Network Operations Planning, Systems Engineering, and Process Engineering to Delivering E2E System Solutions for AT&T’s products and services. Chee was awarded Outstanding 50 Asian Americans in Business in 2018 for her distinguished performance.
PhD, Professor, University of Louisville, Kentucky, USA
Building Secure Cloud Information System using Cloud Security Architecture Tool
Abstract: Todays commercial and government information systems include clouds, networks, data systems, and complex storage databases that contains sensitive personal information. These commercial and government organizations must be entrusted with security and privacy risk management to ensure their information systems operate securely and reliably. In order to provide structured guidance and framework NIST has developed extensive guidelines and specifications to assist organizations. The NIST 800 Series is a set of documents that describe United States federal government computer security policies to implement and manage the system information security risk. For example, SP 800-200 is Cloud Computing Security Reference Architecture specification to accelerate the securely adoption of cloud computing. SP 800-53 R4 defines the security and privacy controls recommended for each functional capability or micro-service a system implements. One of the issues with these standards is how an organization can implement these specifications. To provide this capability, a tool Cloud Security Architecture Tool (CSAT) is developed that aims to leverage the Cybersecurity Framework (CSF) to identify the NIST SP 800-53 security and privacy controls for cloud-based information systems by identifying the necessary functional capabilities the system needs to provide to support the organization's mission and the service the system is designed for. In this talk, we will discuss the motivation and significance of NIST’s specifications. In addition, it provides a discussion on the role of CSAT in an organization to enhance and facilitate adoption of secure cloud solution.
Biography: Anup Kumar (firstname.lastname@example.org) completed his Ph.D. from North Carolina State University and is currently a Professor of CECS Department at the University of Louisville. He is also the Director of Mobile Information Network and Distributed Systems (MINDS) Lab. His research interests include web services, wireless networks, distributed system modelling, and simulation. He has co-edited a book titled, “Handbook of Mobile Systems: Applications ands Services” published by CRC press in 2012. He is an Associate Editor of IEEE Transactions on Services Computing. He is also the Associate Editor of Internal Journal of Web Services Research and International Society of Computers and Their Application Journal. He is a member of IEEE Distinguished Visitor Program (2006-2008). He was the Chair of IEEE Computer Society Technical committee on Simulation (TCSIM) (2004-2007). He has published and presented over 150 papers. Some of his papers have appeared in ACM Multimedia Systems Journal, several IEEE Transactions, Wireless Communication and Mobile Computing, Journal of Parallel and Distributed Computing, IEEE Journal on Selected Areas in Communications etc. He was the Associate Editor of International Journal of Engineering Design and Automation 1995-1998. He has served on many conference program and organizing committees such as IEEE ISCC 2007, IEEE ICSW-2006, IEEE MASS-2005, IEEE SCC-2005, IEEE ICWS-2005, CIT-2005, IEEE MASCOTS, ADCOM 97 and 98. He has also edited special issues in IEEE Internet Magazine, and International Journal on Computers and Operations Research. He is a Senior Member of IEEE.
Prof. Chengnian Long
Shanghai JiaoTong University, Shanghai, China
Trusted Intelligent Internet of Things: Key Technologies and Application Cases
Abstract: This report introduces the use of blockchain technology to construct a trusted and distributed IoT system architecture to enhance IoT system security and data sharing, which can promote the application value for IoT in future digital economy. Key technologies include device autonomous identity and security authentication, distributed data storage and distribution, and distributed consensus protocol. We will introduce some application cases in intelligent transportation and smart medical care to explore the value of blockchain technology in the real economy.
First, many current critical infrastructures such as power grids, transportation systems, and medicine systems are emerging with the tight integration of physical processes and cyber world. Due to the crucial role of cyber-physical systems in everyday life, cyber-physical security needs to be promptly addressed. Particularly, his research group is focus on the security estimation and control of power grids and industrial control systems. Second, he has a long-term concern on the fundamental networking problem in Internet of Things, such as crowd sensing system, fog computing of intelligence gateway, MIMO wireless technology for smart devices. Particularly, his research group is focus on the sensing, computing, communication, and control integration of Internet of Vehicles (IoV). Third, the long-term view is to develop system intelligence for both CPS and IoT. An emerging trend is data-driven distributed intelligence system. Thus, the large-scale trust and reliable data is the power source for intelligence system. Furthermore, to apply the AI technology (deep learning and computer vision) from the laboratory to the real world that require a new approach to supporting the associated power, weight, space, and real-time constraints. Particularly, his research group is focus on investigating the blockchain technology to construct distributed intelligence system and developing the embedded computer vision and deep learning technology for UAV and autonomous vehicles.
Biography: Chengnian Long is a full professor of Department of Automation, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University. His research interest mainly focuses on the Cyber-Physical Systems (CPS), including: 1) Cyber-Physical Systems (CPS) Security: security estimation and control of CPS, intrusion detection system, blockchain security; 2) Internet of Things (IoT): crowd sensing, fog computing, internet of vehicle, wireless MIMO system and 3) Distributed Intelligence Systems: embedded computer vision for smart devices (UAV, Autonomous vehicles), blockchain.
Shanghai Tech University, Shanghai, China
AI-enabled Wireless Communication Networks
Abstract: In order to meet the ever-growing requirements of future intelligent applications and services, more and more computing resources and distributed AI algorithms have been deployed in wireless communication networks, thus achieving massive data processing and real-time decision making at local or regional sites. In this talk, we will first introduce the architecture, advantages and future trends of multi-tier computing networks, including the differences and collaborations between cloud, fog, and edge computing technologies. Further, a series of novel AI algorithms and solutions are developed to utilize local and regional computing resources for wireless channel modelling, capacity and coverage optimization, and indoor localization and tracking applications. Our research and experiments reveals the potentials of AI algorithms for wireless communication networks, as well as some new bottlenecks and challenges for future investigation.
Biography: Dr. Yang Yang is currently a full professor with School of Information Science and Technology, ShanghaiTech University, China. Prior to that, he has held faculty positions at The Chinese University of Hong Kong, Brunel University (UK), University College London (UCL, UK), and SIMIT, Chinese Academy of Sciences (CAS, China).
Yang is a member of the Chief Technical Committee of the National Science and Technology Major Project "New Generation Mobile Wireless Broadband Communication Networks" (2008-2020), which is funded by the Ministry of Industry and Information Technology (MIIT) of China. In addition, he is on the Chief Technical Committee for the National 863 Hi-Tech R&D Program "5G System R&D Major Projects", which is funded by the Ministry of Science and Technology (MOST) of China. Yang is a General Co-Chair of IEEE DSP 2018 conference and a TPC Vice-Chair of IEEE ICC 2019 conference.
Yang's current research interests include wireless sensor networks, Internet of Things, Fog computing, Open 5G, and advanced wireless testbeds. He has published more than 200 papers and filed over 80 technical patents in wireless communications. He is a Fellow of the IEEE.
City University of Hong Kong, China
Optimal Network Decomposition for Next-Generation Mobile Communication Systems
Abstract: The fundamental idea of network decomposition is to break a large-scale network into smaller parts such that the subnetworks can operate in parallel, each with a much lower dimensionality. For large-scale wireless networks, the cellular structure is based on the idea of network decomposition, where the network is decomposed into multiple subnetworks, i.e., cells, according to the coverage of each base-station (BS). Such a decomposition scheme, nevertheless, leads to strong interference among subnetworks, which becomes increasingly significant as the density of BSs grows. For the next-generation cellular network where a massive amount of BSs need to be deployed to meet the ever-increasing demand of high data rate, it is of paramount importance to develop efficient network decomposition schemes to replace the current cellular structure. How to build such a decomposition framework, unfortunately, has remained largely unknown.
In this talk, I will introduce our recently proposed network decomposition theory for large-scale wireless networks. Specifically, starting from a novel bipartite graph representation of an infrastructure-based wireless network, I will show that in general the optimal network decomposition can be formulated as a graph partitioning problem. I will then demonstrate how to solve it by the proposed Binary Search based Spectral Relaxation (BSSR) algorithm. The performance of the proposed BSSR algorithm is further examined and compared to the current cellular structure and BS clustering in various scenarios. Significant gains are shown to be achieved by the proposed BSSR algorithm, which corroborates that the optimal network decomposition of next-generation cellular networks should be performed based on a bipartite graph where the geographical information of BSs and users are both included.
Biography: Dr. Lin Dai received the B.S. degree from Huazhong University of Science and Technology, Wuhan, China, and the M.S. and Ph.D. degrees from Tsinghua University, Beijing, China, all in electronic engineering. She is now a full professor of Department of Electronic Engineering of City University of Hong Kong.
She has broad interests in communications and networking theory, with special interests in wireless communications. Her recent research work focuses on modeling, performance analysis and optimal access design of next-generation mobile communication systems.
She was a co-recipient of the Best Paper Award at the IEEE Wireless Communications and Networking Conference (WCNC) 2007 and the IEEE Marconi Prize Paper Award (the annual Best Paper Award of IEEE Transactions on Wireless Communications) in 2009. She received The President's Award of City University of Hong Kong in 2017.
Prof. Guangxia Xu
Chongqing University of Posts and Telecommunications,Chongqiong, China
Blockchain Data Sharing and Its Industry Case Study
Abstract: Due to the advanced features of openness, anonymity, immutability and decentralization of blockchain technology, it is currently a hot topic of interest to technology giants and business communities. Combining with big data, cloud computing and IoT, blockchain technology is a promising trend and is expected to ensure sharing data trustworthiness and security. Using the smart contract and distributed storage in blockchain to reduce costs, improve work efficiency and promote social development of the intelligent.
This talk will introduce disadvantages of traditional centralized data and definite advantages brought by blockchain in data sharing. Furthermore, we will propose the application of blockchain data sharing in different industries in detail, such as agriculture, IoT, medical health and so on. Especially, framework design, smart contracts and consensus mechanisms give our own methods. At last, we will talk about the point that blockchain promotes coordinated social development and shared economy.
Biography: Dr. Xu is currently Ph.D. adviser, vice director of Network and Information Security Engineering Center of Chongqing. She is a senior member of China Computer Federation (CCF); Blockchain Committee member; ACM and IEEE member; vice chairman of Information Security Association of Chongqing; expert of National Natural Science Foundation and committee member of Technical Committee on Fault Tolerant Computing of CCF. She has served as director of Big Data Security and Intelligence Analytics Technology Innovation Team in Chongqing. She was a visiting scholar at Stevens Institute of Technology, New Jersey, USA and a post-doctor at School of Communication and Information Engineering, Chongqing University.
Prof. Xu ‘s research interests include Blockchain Technology and Application, Big Data Security and Analytics, Network Security and Management, IoT Security and AI Security. Extensive and novel results have been accomplished and most of them have already been published through high-quality journal, conference papers and projects. She is in charge of one sub-project of National Science and Technology Support Projects, two projects of National Natural Science Foundation of China, one sub-project of information Security Projects of National Development and Reform Commission, and more. In addition, she is a reviewer for 《ACM Computing Surveys》、《IEEE Access》、《Digital Communications and Networks》、《International Journal of Geographical Information Science》, and member of the editorial board of 《Journal of Chongqing University of Posts and Telecommunications.
School of Computer Science and Engineering, Nanyang Technological University, Singapore
Cyber-Physical Approach to Resilient City-Scale IoT Systems
Abstract: With the increasing connectivity and intelligence of massive objects, various city-scale systems such as utility infrastructures and transportation systems are evolving into their next generations for higher efficiency. However, they also face growing risks such as unexpected disturbances and even malicious attacks. Therefore, in the pursuit of the smart city vision, it is also important to enhance the resilience of these systems upon the contingency of these risks. In this talk, I will present our recent research on leveraging a city-scale physical process, i.e., the delivery of alternating current electricity, to achieve resilient timestamping and clock synchronization for Internet-of-Things objects found in electrified systems, smart ambient, and even on human bodies.
Biography: Dr. Rui Tan is an Assistant Professor at School of Computer Science and Engineering, Nanyang Technological University. Previously, he was a Senior Research Scientist at Advanced Digital Sciences Center, a Singapore-based research center of University of Illinois at Urbana-Champaign, and a postdoctoral Research Associate at Michigan State University. He received PhD degree from City University of Hong Kong. His research interests include sensor networks, Internet of things, and cyber-physical systems. He is the recipients of IPSN'17 and CPSR-SG'17 Best Paper Awards, IPSN'14 and PerCom'13 Best Paper Award Runner-Ups, and CityU Outstanding Academic Performance Award. He is a Senior Member of the IEEE.
Dr. Li Tian
Research Manager, Department of Wireless Algorithm, ZTE Corporation, China
Ubiquitous Network - From Terrestrial To Aerospace
Abstract: The Phase 1 5G NR standardization (Rel.15) has been frozen in 3GPP by March 2019, which mainly focused on the traditional eMBB services. In later releases, the standardization society envisions more vertical applications from the scoping of the work items, such as V2X, NR-U, Industrial IoT, NR-light, NTN, AR/VR, home-IoT. The 5G-beyond or 6G vision is aimed to provide a ubiquitous and robust network, where mobile terminals could be anywhere and access the network at any time. This cannot be fulfilled solely based on the traditional cellular networks, but also rely on the non-terrestrial operators such as satellite and HAPS (e.g., drones or hot-air balloon). This talk briefly introduces the latest standardization activities in 3GPP, and focus more on the use case and technical challenges of non-terrestrial networks.
Biography: Dr. Li Tian is currently a research manager at the department of the wireless algorithm of ZTE corporation. He received his bachelor degree in Communication Engineering and the Ph.D. degree in Control Science and Control Engineering from Tongji University, Shanghai, China. He was a visiting Ph.D. student at the Department of Electronics and Information Systems (DEIS) of University of Bologna from 2013 to 2014. His current research interests are in the field of 5G new radio access technology, with over 40 scientific papers, 200 standard contributions, and 30 globally filed patents. He is a 3GPP RAN delegate and serve as rapporteur of Rel.16 Two-step RACH WI.
Chief Scientist at China Mobile Research，General Manager of AI and Intelligent Operation R&D Center
Biography: Dr. Feng has led R&D of China Mobile on artificial intelligence and big data since September 2013. She had been the architect of IBM Big Data from January 2013.1 to August 2013 and a principal researcher at AT&T Labs Research from August 2001 to January 2013. Dr. Feng received her Ph.D. on Speech Recognition in 2001 from Chinese Academy of Sciences. She is an IEEE senior member, an IEEE speech and language committee member and IEEE industry committee member. She is a reviewer for major data mining, speech, and natural language international conferences and journals. She has chaired and organized multiple conferences in these fields. Dr. Feng has over 70 professional publications and has been granted 42 U.S and international patents.
School of Computer Science, South China Normal University
On the Security of Smart Contract
Abstract: Smart Contracts are driving BlockChain Application into a much wider area. It embeds business logic into BlockChain systems as automatic execution of computer programs. The execution is imperative and is immune to external intervention. While the mechanism is to implement trusted online compromise on BlockChain, the design and execution of smart contract ode are still subject to various riskes. Investigation of the security of smart contracts, both before deployment and after deployment, are extremely important. This talk shares the exploration on the security of smart contracts before deployment. The exploration takes on the perspective of security testing and exploit testing techniques to understand the potential security risks of smart contracts.
Biography: Dr. Gansen Zhao received his Ph.D from the University of Kent, UK. He had worked for Oracle UK before his academic career. After serving for 2 years for Sun Yat-sen University, Dr. Zhao has been serving as a full professor in School of Computer Science, South China Normal University, China. He is now the deputy dean of School and is leading the Key Lab on Cloud Security and Assessment Technology of Guangzhou.His main research interests include Cloud Security, Trust Management, and BlockChains. He has published extensively in the above areas, and serves as program chairs for a number of conferences.
David H. Lu - Summit Moderator
Vice President, SDN Platform & Systems Development, AT&T Labs, USA
, Vice President, SDN Platform & Systems, is responsible for development and engineering of AT&T’s next generation SDN (Software Defined Network) platform enabling AT&T network virtualization and OSS/operation process transformation which includes ECOMP platform and open source ECOMP (ONAP), API, micro-services, policy control & orchestration, hyper-automation, and advanced data analytics. David leads a multifaceted organization with more than 3,000 people across the globe.
David is a well-respected leader across multiple technology domains including: large scale, real time software architecture and development, network performance and traffic management, work flow and policy-controlled automation, large database and big data implementation (mining & analytics), machine learning, artificial intelligence, software reliability and quality, and network operations process engineering. David has led major software platform transformation initiatives from sales to network/service delivery/assurance, and billing platforms. Examples of his David’s achievements include large scale platforms he has both led and engineered that process annually: 984 Trillion Trillion network performance events and 348 Billion alarms with 99.99%+ automation; 60 Million dispatches with 14.4 Billion automated manual steps; and over 90 Billion API transactions.
Since joining AT&T Bell Labs in 1987, David has served in various leadership positions at AT&T. Over the past 15 years, David has led numerous automation initiatives that have resulted in multi-billion-dollar savings and in 2010 he received the CIO 100 Award for his efforts. David holds 45 patents and has frequently appeared as a guest speaker at technical and leadership seminars and conferences throughout the world. David has received numerous industry awards including the 2015 Chairman’s Award from the IEEE Communication Society for Network and Systems Quality and Reliability; and the 2017 CIE AAEOY (Asian America Engineer of Year) Award . David is tremendously active in community organizations and activities including AT&T APCA, DFW-CIE, the DFW Asian American Chamber of Commerce, and was recognized by AT&T APCA in 2015 with the Corporate Leadership Award .
David was accepted to the world-renowned Shanghai Conservatory of Music and came to the U.S. to complete his college education; an undergraduate degree in Music (majoring in cello performance), and a graduate degree in Computer Science.