… differential privacy (LDP) is the relaxed version of the privacy standard, differential privacy,
and it can protect users’ data privacy … potential to protect vehicles’ data privacy in the practical …

… differential privacy, since we aim to achieve user-level privacy protection instead of the
weaker record-level privacy … often much data from a vehicle may be about the vehicle’s regular …

… This paper proposes a trajectory dataset releasing mechanism based on differential
privacy to address the privacy leakage when sharing location data on the Internet of Vehicles. …

… In VANETs, each vehicle generates some sensitive data that are transmitted to the connected
RSU. In this paper, we propose a privacy-preserving model that ensures privacy of vehicles…

… Based on the data acquisition environment of the unbelievable Internet of Vehicles, this
paper puts forward a location data acquisition method that satisfies the local differential privacy …

… 2) DP Protection: we then add Laplace noise on the data to achieve ϵ-Differential Privacy. …
subject to ϵ-differential privacy on the data). Hereby, we elaborate ϵ-Differential Privacy via a …

… address the existing privacy concerns when vehicles use an untrusted transportation
infrastructure, particularly in scenarios where roads are congested with many vehicles which can …

… paper, by introducing the differential privacy technology, put forward to adapt to the car
networking features of data privacy protection scheme: raw data stored on the user vehicles, only …

… privacy and trust issues in the Internet of Vehicles at the service level. Various concerns over
privacy … four basic categories: personal information privacy, multi-party privacy, trust, and …

… differential privacy, respectively. In Sections IV and V, we discuss the two hot issues in this
topic: privacy metrics and the conflicts between differential privacy … based on privacy in IIoT. …