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2019 International Workshop on IoT Big Data and Blockchain (IoTBB’2019)
A Workshop at 2019 IEEE International Conference on Big Data (IEEE Big Data 2019) December 9-12, 2019, Los Angeles, CA, USA
With support from the Technical Committee on Cyber- Physical Cloud Systems of IEEE Systems, Man, and Cybernetics Society
Introduction
The Internet of Things (IoT) is the network of devices such as vehicles, industrial machines, environmental facilities, and home appliances that contain software, sensors, actuators, and connectivity which allows these things to connect, interact and exchange data.
Form a computing point of view, one of the IoT challenges is the overwhelming amount of real-time stream data from IoT. IoT Big Data requires new frameworks and new approaches in tackling the IoT data deluge.
This Workshop will focus on the latest developments from both academia and industry, with a particular emphasis on cutting-edge techniques and challenges to capture, store, process and protect the IoT big-data which can be applied to process, analyze and protect the IoT data in real-world applications.
This workshop provides a timely forum for researchers, academics, practitioners and policy-makers in IoT Big Data processing and analytics, machine learning, data protection. The workshop aims to share knowledge and deep thoughts that will help shape the future directions of real-time stream data challenges, and will bring forth a lively forum on this exciting and challenging area of IoT Big Data and Blockchain at the Conference.
Research Topics
The workshop will consider well-written submissions that represent original, unpublished, state-of-the-art research and practical work. Indicative topics of the workshop are as follows (but not limited to).
IoT Big Data Processing
- cloud platforms for IoT Big Data - data stream management systems - data stream processing - edge/fog computing - real-time data processing - real-time data stream toolkits/platforms - service provisioning in IoT / edge computing
IoT Big Data Analytics
- complex event processing - data stream machine learning / deep learning - incremental machine learning - online machine learning - real-time data stream mining / analytics - real-time data stream visualization - stream mining / analytics
Blockchain for Internet of Things (IoT)
- Blockchain technologies in IoT environments - Blockchain architectures for IoT systems - Blockchain protocols for IoT systems - Blockchain software platforms for IoT applications - IoT data privacy and security - IoT data provenance and protection - machine learning / deep learning for IoT security - security in IoT / edge computing - IoT data trust models and frameworks - IoT data trust platforms
Real-World Applications of IoT Big Data and Blockchain
- big data and blockchain for smart city / energy - big data and blockchain for smart healthcare / living - big data and blockchain for smart learning - big data and blockchain for smart manufacturing - big data and blockchain for smart agriculture - big data and blockchain for smart supply chain / logistics - big data and blockchain for cybersecurity operations
To contribute towards advances of knowledge, the workshop solicits original papers from researchers and practitioners who are active in the area of IoT Big Data and Blockchain.
Online submission to IoT Big Data 2019 Workshop
Manuscripts for submission should be in full-length and formatted, up to 10 pages, using the IEEE CS templates required by the IEEE Big Data 2019 Conference https://wi-lab.com/cyberchair/2019/bigdata19/scripts/BigData_2019_Camera_ready_instruction.php?subarea=S
Each submission will be peer-reviewed by 3 members of the International Program Committee.
Important Dates
Electronic submission of full papers: Oct 31, 2019 Notification of paper acceptance: Nov 10, 2019 Camera-ready of accepted papers: Nov 20, 2019 Workshop: Dec 9-12, 2019
Workshop Chairs
Professor Huaglory Tianfield School of Computing, Engineering and Built Environment Glasgow Caledonian University Glasgow G4 0BA, United Kingdom
Professor Feng Qian Director, Ministry of Education Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai 200237, China
International Program Committee
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