Xiaodong Lin's research while affiliated with University of Guelph and other places
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Publications (4)
Ride-hailing services have experienced remarkable development throughout the world, serving millions of users per day. However, service providers, such as Uber and Didi, operate independently. If they are willing to share user data and establish collaborative-rides (c-rides), more ride services and commercial interests will be produced. Meanwhile,...
Traffic monitoring system empowers cloud server and drivers to collect real-time driving information and acquire traffic conditions. However, drivers are more interested in local traffic, and sending driving reports to a remote cloud server consumes a heavy bandwidth and incurs an increased response delay. Recently, fog computing is introduced to p...
Carpooling enables passengers to share a vehicle to reduce traveling time, vehicle carbon emissions and traffic congestion. However, the majority of passengers lean to find local drivers, but querying a remote cloud server leads to an unnecessary communication overhead and an increased response delay. Recently, fog computing is introduced to provid...
Citations
... Additionally, in [27], [28], ECC-based anonymous mutual authentication protocols for energy nodes are proposed for matching the trading energy nodes. Similarly, [29], [30] proposed anonymous mutual authentication protocols for car drivers and park owners. These protocols aim to achieve both the confidentiality of the transaction and anonymity of the interacting entities in addition to other trading goals like verifiable fairness. ...
... However, schemes 14,15 only consider protecting the driver's privacy information in the communication process, but lack consideration of protecting the driver's privacy information when KGC processes the vehicle driving information 16 . Recently, schemes 17,18 try to improve this weakness, but their computation and communication costs is heavy. Our scheme also pays attention to this problem, especially in the traffic monitoring system, KGC can easily obtain the driver's privacy information by processing the vehicle's driving information. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/1089867870154752-1636856157499_Q64/Meng-Li-129.jpg)
... The proposed app GreenRide that incentivizes its users via token rewards in Jordan demonstrated how the environmental and economic benefits of decentralization and scalability can be achieved. Li, Zhu, and Lin (2018b) proposed an efficient and privacy-preserving carpooling scheme using blockchainassisted vehicular fog computing to support conditional privacy, one-to-many matching, destination matching, and data auditability. ...
