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BigDataCPS 2020 : The Second International Workshop on Big Data Analytics of Cyber-Physical Systems

Online
Event Date: Oct 19, 2020 - Oct 19, 2020
Submission Deadline: Aug 19, 2020
Notification of Acceptance: Aug 25, 2020
Camera Ready Version Due : Sep 01, 2020

About

Cyber-Physical Systems (CPSs) and the Internet of Things (IoT) are an increasingly important class 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.

Call For Paper

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 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, heating, 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.

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; Trust management in IoT and other Big Data Systems.

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