Location Privacy in Pervasive Computing
IEEE Pervasive Computing
Mix Zones: User Privacy in Location-aware Services
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Detecting and correcting malicious data in VANETs
Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks
The security of vehicular ad hoc networks
Proceedings of the 3rd ACM workshop on Security of ad hoc and sensor networks
Mobile Networks and Applications - Special issue: Wireless mobile wireless applications and services on WLAN hotspots
Swing & swap: user-centric approaches towards maximizing location privacy
Proceedings of the 5th ACM workshop on Privacy in electronic society
Preserving location privacy in wireless lans
Proceedings of the 5th international conference on Mobile systems, applications and services
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Improving wireless privacy with an identifier-free link layer protocol
Proceedings of the 6th international conference on Mobile systems, applications, and services
On the effectiveness of changing pseudonyms to provide location privacy in VANETS
ESAS'07 Proceedings of the 4th European conference on Security and privacy in ad-hoc and sensor networks
The privacy implications of stateless IPv6 addressing
Proceedings of the Sixth Annual Workshop on Cyber Security and Information Intelligence Research
Formal analysis of privacy for vehicular mix-zones
ESORICS'10 Proceedings of the 15th European conference on Research in computer security
Cryptographically protected prefixes for location privacy in IPv6
PET'04 Proceedings of the 4th international conference on Privacy Enhancing Technologies
Towards modeling wireless location privacy
PET'05 Proceedings of the 5th international conference on Privacy Enhancing Technologies
Privacy issues in vehicular ad hoc networks
PET'05 Proceedings of the 5th international conference on Privacy Enhancing Technologies
Silent cascade: enhancing location privacy without communication QoS degradation
SPC'06 Proceedings of the Third international conference on Security in Pervasive Computing
AMOEBA: Robust Location Privacy Scheme for VANET
IEEE Journal on Selected Areas in Communications
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For a long term of vehicle communication research, now VANET is in a stage of implementation. However, most of VANET researches focus on message transmission. Vehicle is extremely personal device; therefore personal information, so called privacy has to be protected. In this paper, we analyze identity and location privacy threatening factors, problems, and solutions based on network model. To analyze solution's effectiveness, we define four attack models: External attack, Internal attack, Correlational attack, and Relational attack. According to our research, most of the solutions use pseudonym identity or address changing scheme to protect identity privacy. Also, solutions are weak to or do not consider the relational attack. We analyze this is due the meet the network model's transparency design goal and protect vehicle's real identity even revealing the vehicle's location. The result of this paper could guide a way to design a privacy preserve solution and present a trend of existing solutions.