Events

Public defence in Communications Engineering and Networking Technology, M.Sc. Shushu Liu

The protection of your location information

M.Sc. Shushu Liu will defend the thesis "Securing 5G Positioning and its Services with Privacy Preservation" on 21 December 2022 at 12 (EET) in Aalto University School of Electrical Engineering, Department of Communications and Networking, in lecture hall AS1, Maarintie 8, Espoo, and online in Zoom. You can follow the defence via this link: https://aalto.zoom.us/j/66420876237

Opponents:
Dr. Mridula Singh, CISPA Hemholz Center for Information Security, Germany
Prof. Elena-Simona Lohan, Tampere University, Finland

Kustos: Prof. (emeritus) Raimo Kantola, Aalto University School of Electrical Engineering, Department of Communications and Networking

Thesis available for public display 10 days prior to the defence at: https://aaltodoc.aalto.fi/doc_public/eonly/riiputus/
Doctoral theses in the School of Electrical Engineering: https://aaltodoc.aalto.fi/handle/123456789/53

Zoom Quick Guide: https://www.aalto.fi/en/services/zoom-quick-guide

Public defence announcement:

The leakage of location has been a serious concern for everyone. The location can reveal far more than your latitude and longitude. With a little bit of background information, it is easy to infer much sensitive information about you, such as a home address, personal hobbies, workplace or even health status, which could greatly threaten your properties and even life security.

Aiming to prevent the leakage of location, this dissertation focused on the whole lifecycle of location information, from the signal measurements at the access node, and positioning computation at the cloud/edge side to the location consumption at location-based service (LBS) providers. It identifies the security threats and potential privacy leakages across the whole lifecycle and provides different solutions to enhance the security of the existing 5G positioning system and its related services.

All the proposed schemes are evaluated with simulations or real-world datasets. The results demonstrate the improvement or the trade-off between security, privacy, integrity and overhead. It is expected that this dissertation can further advance secure and privacy-preserving 5G positioning and its services.

Contact information of doctoral candidate:

Email [email protected]
Mobile +358503097078
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