Cyber-Physical Systems (CPSs) and the Internet of Things (IoT) are increasingly important classes of systems that integrate computation and communication with physical processes. CPSs usually monitor and control physical processes in a feedback loop where physical elements affect computation and vice versa. Modern society now relies on CPSs to perform critical operations in sectors ranging from assisted living, power generation and distribution, building design and automation, transportation, manufacturing, health monitoring, and emergency management, all of which serve critical functions in our daily lives. Advances in CPSs promise to enable adaptability and scalability that will far exceed the current embedded engineering systems.

The tight coupling between the cyber and physical worlds in CPS is enabling the accumulation of large amounts of data, which can be analyzed, interpreted, and appropriately leveraged for optimizations. Especially, when multiple CPSs are interacting and cooperating with each other, the big data analysis becomes a critical requirement to improve CPSs’ performance. Due to the widespread deployment of CPSs, our physical environment is constantly monitored in detail by millions of Internet-connected sensors, including smart meters, satellites, and radars, with much of the data made publicly available. Thus, sensor data is growing at a faster rate than ever before. As one example, utilities have deployed ∼70 millions “smart” meters, which record building energy usage at fine-grained intervals in the US. The state-of-the-art meters are able to read 30 energy data samples every second, and thus every million meters generate 86.4 billion readings per day. Recent studies estimate that data processed annually by CPSs will reach 44 zettabytes, or 44 trillion gigabytes by 2020. This increase will become overwhelming if the big data is not properly managed.

The workshop will consist of invited and peer-reviewed research papers about Cyber-Physical Systems. We invite original contributions including, but not limited to the following:

Big Data Management:

Sensor systems and applications that enhance the energy efficiency, energy reliability, durability, and comfort;
Distributed generation, alternative energy, renewable sources, and energy storage in buildings;
Emerging standards for data collection, energy control, or interoperability of disparate devices or systems;
Sensing, modeling, and predicting the urban heartbeat including sounds, movements, and radio spectrum;
Human in the loop sensing and control for efficient usage of electricity, gas, heat, and water;
Sensor systems for reliable occupancy counting;
Long-lived and energy harvesting sensor systems;
Scalable indoor localization and contextual computing;
Security, privacy, safety, and reliability in built systems;
Empirical studies of city-scale wireless communications;
Environmental sensing;
Vehicle technologies and traffic management;
Data reduction techniques, such as lossy and lossless compression methods, approximate computation methods, compressive/compressed sensing methods, etc., for CPS;
Energy efficiency and performance in ubiquitous and mobile computing systems.

Big Data Security, Privacy and Trust:

Intrusion detection for smart grid and smart buildings;
Anomaly and APT detection in very large-scale systems;
High-performance cryptography;
Visualizing large-scale security data;
Threat detection using big data analytics;
Privacy threats of big data in energy systems;
Privacy-preserving big data collection/analytics;
HCI challenges for big data security & privacy;
Sociological aspects of big data privacy;
Security, privacy, and trust management in IoT and other big data systems.

Publications:

Workshop participants will be able to publish their papers (maximum 8 pages in length (IEEE style) for each paper) in the Proceedings of IGSC Workshops, which will be published in the IEEE Xplore.

Paper Submission:

Submitted manuscripts may not exceed a total of 8 single-spaced double-column pages using 10-point size font on 8.5×11 inch pages (IEEE conference style – see templates below), including figures, tables, references, etc.​
See IEEE conference style templates for details (Zip file downloads): LaTex Package (ZIP) Word Template (ZIP). All submissions will be evaluated based on their originality, technical soundness, significance, presentation, and interest to the conference attendees.
Please refer to the website (https://easychair.org/conferences/?conf=igsc2021, Track: Application of Big Data Analytics to Cyber-Physical Systems) for specific instructions related to the paper submission.

Important Dates:

Paper submission: September 16, 2021
Notifications to authors: October 2, 2021
Camera-ready papers due: October 8, 2021