时间：2016年10月28日下午15:00—17:00

地点：广C511

Talk: Cloud-Based Privacy-Preserving Parking Navigation

Speaker: Xiaodong Lin, PhD

Associate Professor

University of Ontario Institute of Technology, Canada

E-mail: xiaodong.lin@uoit.ca

Abstract:

Finding a vacant parking space in a congested area is always time consuming and frustrating for drivers. It is common for drivers to keep circling within a parking lot for a parking space. Study shows that in crowded area, such vehicles cause an average 30% of the traffic on the road. Real-time parking information can avoid vehicles being cruising on the roads. However, when the drivers are acquiring parking information, their privacy is inevitable to be disclosed. For example, some navigation applications, offered by Google and Apple, collect drivers’ locations and destinations, which may reveal sensitive information about the drivers’ personal lives.

In this talk, a Cloud-based Privacy-preserving pARking Navigation system (CPARN) through vehicular communications is presented to minimize drivers’ hassle and preserve drivers’ privacy. In this system, a cloud server guides drivers to vacant parking spaces close to their desired destinations without exposing the privacy of drivers, including drivers’ identities, preferences and routes. Specifically, CPARN allows drivers to query vacant parking spaces in an anonymous manner to a cloud server that maintains the parking information, and retrieve the protected navigation responses from the roadside units (RSUs) when the vehicles are passing through. CPARN has the advantage that it is unnecessary for a vehicle to keep connected with the queried roadside unit to ensure the retrievability of the navigation result, such that the navigation retrieving probability can be significantly improved. Further, an efficient encrypted data search approach based on Bloom Filter is presented to reduce response delay during the retrievability of navigation responses from RSUs, as well as save storage space at RSUs. In the end of this talk, we will show some directions in vehicular ad hoc networks that still deserve further investigations and efforts.