A Survey on Recent Advances in Vehicular Network Security, Trust, and Privacy
By Zhaojun Lu, Gang Qu, Zhenglin Liu. IEEE transactions on intelligent transportation systems (Print), 2019
501 citations recorded by the source corpus.
Vehicular ad hoc networks (VANETs) are becoming the most promising research topic in intelligent transportation systems, because they provide information to deliver comfort and safety to both drivers and passengers. However, unique characteristics of VANETs make security, privacy, and trust management challenging issues in VANETs’ design. This survey article starts with the necessary background of VANETs, followed by a brief treatment of main security services, which have been well studied in other fields. We then focus on an in-depth review of anonymous authentication schemes implemented by five pseudonymity mechanisms. Because of the predictable dynamics of vehicles, anonymity is necessary but not sufficient to thwart tracking an attack that aims at the drivers’ location profiles. Thus, several location privacy protection mechanisms based on pseudonymity are elaborated to further protect the vehicles’ privacy and guarantee the quality of location-based services simultaneously. We also give a comprehensive analysis on various trust management models in VANETs. Finally, considering that current and near-future applications in VANETs are evaluated by simulation, we give a much-needed update on the latest mobility and network simulators as well as the integrated simulation platforms. In sum, this paper is carefully positioned to avoid overlap with existing surveys by filling the gaps and reporting the latest advances in VANETs while keeping it self-explained.
Subfields: Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/01dbeb3c61a95f7a966ed79810a2f3682b7576a6
Citations in the corpus
- Trust in AI: progress, challenges, and future directions (2024, unknown): “…techniques based on homomorphic encryption (Guo et al., 2017), certain blockchain implementations (Sarpatwar et al., 2019), a model that only warrants cooperative AI systems to receive high-fi delity information (Hale et al., 2019), and anonymous authentication and attack tracking (Lu et al., 2019).”