Program

Title: Pedaling Privacy: Unveiling the Potential of Crowdsensing with insights from a Smart Connected Bicycle Infrastructure

Through this keynote, we aim to contribute insights into the secure deployment of crowdsensing systems, offering a balance between innovation and safeguarding individual privacy. 

In this presentation, we delve in particular into our crowdsensing research within the context of smart connected bicycle infrastructure. Leveraging sensors on bicycles, our study extends beyond conventional applications to address critical aspects such as road quality monitoring, road safety, and personal well-being. However, this exploration raises concerns about the potential exposure of sensitive personal information, including the cyclist's weight, driving behavior (e.g., intoxication), and physical condition.

The presentation unfolds with real-world examples illustrating the breadth of applications and potential challenges associated with crowdsensing in the realm of bicycling. Central to our discussion are the measures we propose to securely handle the sensitive information gathered. Emphasizing the paramount importance of data security, we delve into topics such as secure data dissemination, federated learning, and secure data sharing.

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