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Information Secrecy Meets Data Compression for Internet of Things

PhD defence, Wednesday 8 June 2022. Gajraj Kuldeep.

Gajraj Kuldeep

During his Ph.D. studies, Gajraj Kuldeep researched the lightweight methods to achieve joint compression and information secrecy using compressive sensing and efficient implementations for resource-constrained IoT devices. Furthermore, he developed theoretical foundations to achieve compression, error correction, and information secrecy in one unified framework and implemented the working prototypes. In addition, he developed methods for privacy-preserving multi-class encryption.

The new research findings contribute to the understanding of how joint data compression and encryption can achieve end-to-end information secrecy and resource savings in the IoT ecosystem. The developed prototypes demonstrate the feasibility to realize the theoretical research outcomes in off-the-shelf resource-constrained IoT devices.

The PhD study was completed at Department of Electrical and Computer Engineering, Faculty of Technical Sciences, Aarhus University.

This summary was prepared by the PhD student.

Time: Wednesday 8 June 2022, at 13:00.
Place: Building 5342, room 026, Aarhus University, Åbogade 34, 8200 Aarhus N
Title of PhD thesis: Secure Data Compression for Internet of Things
Contact information: Gajraj Kuldeep, e-mail:gkuldeep@ece.au.dk, tel.: +45 23202724.

Members of the assessment committee:

Professor, Enrico Magli, Department of Electronics and Telecommunication, Politecnico di Torino, Italy.

Associate Professor, Xenofon Fafoutis, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark.

Associate Professor, Stefan Hallerstede (chair), Department of Electrical and Computer Engineering, Aarhus University, Denmark.

Main Supervisor:
Associate Professor, Qi Zhang, Department of Electrical and Computer Engineering, Aarhus University, Denmark

Language: The PhD dissertation will be defended in English

The defence is public.
The PhD thesis is available for reading at the Graduate School of Technical Sciences/GSTS,

Jens Baggesens Vej 53, building 5221, second floor, 8200 Aarhus N.

17427 / i43