Abstract
Safety applications in Vehicular Ad-hoc Networks (VANETs) often require vehicles to share information such as current position, speed, and vehicle status on a regular basis. This information can be collected to obtain private information about vehicles/drivers, such as home or office locations and frequently visited places, creating serious privacy vulnerabilities. The use of pseudonyms, rather than actual vehicle IDs, can alleviate this problem and several different Pseudonym Management Techniques (PMTs) have been proposed in the literature. These PMTs are typically evaluated assuming a random placement of attacking stations. However, an adversary can utilize knowledge of traffic patterns and PMTs to place eavesdropping stations in a more targeted manner, leading to an increased tracking success rate. In this paper, we propose two new adversary placement strategies and study the impact of intelligent adversary placement on tracking success using different PMTs. The results indicate that targeted placement of attacking stations, based on traffic patterns, road type, and knowledge of PMT used, can significantly increase tracking success. Therefore, it is important to take this into consideration when developing PMTs that can protect vehicle privacy even in the presence of targeted placement techniques.
Highlights
A Vehicular Ad-hoc Network (VANET) [1] consists of a network of vehicles and associated infrastructure that exchange relevant information, such as vehicle positions and status conditions, traffic density, and road conditions to improve road safety, reduce traffic congestion, and provide a variety of additional services to users
The performance is measured in terms of the tracking success rate (TSR) and global tracking success rate (GTSR)
This means that if the adversary is aware of the Pseudonym Management Techniques (PMTs) being used, this information can be exploited to use the placement strategy that has the highest GTSR for that PMT
Summary
A Vehicular Ad-hoc Network (VANET) [1] consists of a network of vehicles and associated infrastructure that exchange relevant information, such as vehicle positions and status conditions, traffic density, and road conditions to improve road safety, reduce traffic congestion, and provide a variety of additional services to users. Safety applications require the exchange of valuable information about their status with other neighboring vehicles This information includes its current location, speed, acceleration, steering angle, brake status, and a variety of other parameters. This information must be communicated in real-time, with minimum delay and frequent updates. Anyone within a vehicle’s transmission range can receive BSMs from that vehicle and can use the information in successive messages to build a history of previous locations of the vehicle Such tracking can be used to gather important information about the vehicle or drivers, including frequently visited places such as home or office location, visits to and from medical facilities or other sensitive areas and driving schedules
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
