Cloud-Based Control Systems and Data-Driven Innovations

The field of cloud-based control systems is rapidly advancing, with a focus on efficient and secure data management, complex computations, and data-centric optimized decisions. Recent developments have highlighted the importance of privacy and security in these systems, particularly in the context of smart cities and Internet of Things (IoT) devices. Researchers are exploring new methodologies for safeguarding sensitive information and promoting data-driven innovation, while also addressing the challenges of handling vast amounts of data generated by large-scale control applications. Noteworthy papers in this area include:

  • Secure and Efficient Out-of-band Call Metadata Transmission, which presents a distributed, privacy-preserving system for secure call metadata transmission.
  • Privacy-Driven Network Data for Smart Cities, which provides a practical methodology for safeguarding all attributes in real Wi-Fi network data.

Sources

Towards Efficient and Secure Cloud Control Systems: Advances, Challenges, and Future Directions

An End to End Edge to Cloud Data and Analytics Strategy

Privacy-Driven Network Data for Smart Cities

Secure and Efficient Out-of-band Call Metadata Transmission

Protecting participants or population? Comparison of k-anonymous Origin-Destination matrices

Built with on top of