Mobile networks, cloud computing, and IoT have played a major role in supporting several critical applications like smart cities, smart grids, and e-health. In this context, it is important to note that IPv6 deployment has played a major role in all global digital infrastructures, both in legacy ISP’s, and in IoT/cloud computing networks. On the other hand there has been a tremendous growth in the production and storage of data that is private, and sensitive. Privacy issues and cyberattack threats pose several challenges in this context. Hence privacy-preserving data analysis, federated learning, and homomorphic encryption are important. An allied topic in relation to these technologies is Quantum transformation (QX). It’s the age of cyber physical systems and Quantum transformation will assist in providing radically novel technological services in measurement, computers, communication and simulation. This track will consist of talks and panel discussions on all the aforementioned topics.
In this Industry Forum Track, there will be three broad sessions namely,
- From Digital Transformation to Quantum Transformation
- IPv6-based 5G, IoT, Cloud Computing, Blockchain
- Secure Computing and DX With IoT Data
Session 1: From Digital Transformation to Quantum Transformation
For the past 10 years, GAFA has taken the hegemony. Calling the era of Cyber to Cyber DX1.0, there is growing interest in the data gathered on the physical side. We call this move DX2.0. It is the age of cyber-physical systems. And the big change brought about by quantum technology after that is called QX (Quantum Transformation). With the arrival of the quantum age, expectations for safe and secure lifestyles and societies through the use of innovative technologies is on the rise globally. Japan aims to establish itself as a “quantum technology innovation nation” by creating new industries that provide technological services such as materials, devices, measurement technologies, computers, communication and simulation technologies. Q-STAR will contribute to the realization of a ”quantum technology innovation nation” by exercising its leadership globally and promoting activities that contribute to the development of science and technology in the new era, as well as promoting Japanese industries and enhancing international competitiveness. In this session, we will first introduce the activities and aims of Q-STAR. Next, we will hold a panel discussion with key people from overseas on the cooperation between Q-STAR and quantum-related organizations around the world.
Dr. Ken Hatano
Session 2: IPv6-based 5G, IoT, Cloud Computing, Blockchain
The IPv6 deployment has been progressing in all global digital infrastructures, i.e., not only in legacy wired ISP’s, but also in5G cellular networks, IoT and cloud computing networks.
These sessions will address: Identify gaps and recommendations of existing and required IPv6 standards in SDOs; Identify and describe IPv6 Network related use cases & specific scenarios, derived requirements and IPv6 networking challenges in the following areas:
- IPv6 based 5G (and beyond 5G) IP transport and cloud & IP network convergence
- IPv6 based enterprise networking and Industrial Internet
- IPv6-based Bockchain
- IPv6 cybersecurity and management
- Automated networking e2e reference architecture, using IPv6; Describe an IPv6 based specific deployment best practices / guidelines and transition tools for: (1) IPv4 to IPv6, (2) dual stack to IPv6 only
The Forum will conclude with a panel discussion during which IoT experts and security experts will brainstorm how to implement security in the design of a DX plan.
Dr. Latif Ladid, IEEE 5G World Forum Co-Chair
Dr. Hiroshi Esaki, The University of Tokyo
Session 3: Secure Computing and DX With IoT Data
The past decade has seen tremendous growth in the adoption of IoT and data streaming devices in our daily lives and a concurrent surge in the production and storage of mostly private, sensitive data. Many data owners – particularly businesses – would like to analyze the data and leverage hidden nuggets of information to improve their decision-making processes. However, compliance with privacy regulations and the threat of cyberattacks pose heretofore unknown challenges to design and deploy digital transformation initiatives. Approaches to address this issue, collectively known as secure computing, include: privacy-preserving data analysis, federated learning, multi-party computation, and homomorphic encryption. This forum features talks and discussions by distinguished experts from:
1. industries that generate IoT and massive data streams, who will describe properties their IoT data and challenges they face in executing digital transformation plans, and
2. the secure computing domain, who will give an overview of emerging technologies for secure computing that
- enable analysis of data while in encrypted form
- add just enough noise to anonymize sensitive parameters in the data while yielding meaningful results from analysis (statistics, trends, …)
- support local computation of deep learning models whose weights are aggregated to compute a global deep learning model (while keeping all sensitive, raw data in the hands of its owners).
Dr. Mei Kobayashi
Mei Kobayashi holds a Bachelor’s degree in Chemistry from Princeton University and an MA and PhD in Mathematics from the University of California at Berkeley. She was a Researcher, Senior Researcher and Technical Advisor to the Director at IBM Research in Tokyo. She worked as a Data Science Specialist and Manager at NTT Communications, Customer Services in Tokyo. Currently Mei works at EAGLYS, a start-up in Tokyo, specializing in secure computing and AI/ML/DL. Mei has been actively involved in academia. She was a Visiting Associate Professor at the University of Tokyo, when she edited a book on wavelets published by SIAM. She has taught courses at the University of Tsukuba, University of Electro- Communications, Hiroshima University, and Kyoto University. She is currently an Adjunct Faculty Member of Tsuda University and a Visiting Researcher at OIST. Mei has served on numerous organizing and program committees for Conferences, including: ACM KDD, ACM CIKM, SIAM Text Mining, SIAM Data Mining, ICPR, IEEE COMPSAC. She is an Editorial Board Member of the Communications of the ACM (CACM) – News Section, and recently became the founding Editor of the Careers in Computing Section of CACM.
Dr. Hiroki Imabayashi