On evaluation of location privacy preserving schemes for VANET safety applications

Emara, Karim; Woerndl, Wolfgang; Schlichter, Johann H.

doi:10.1016/j.comcom.2015.03.002

Cited by 52 publications

(21 citation statements)

References 22 publications

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“…More specifically, a vehicle continuously monitors other vehicles located within its communication range and tracks their movements using NNPDA tracker and Kalman filter. According to Emara et al [10], the NNPDA is a light-weight multi-target tracking algorithm which showed a high accuracy of tracking of anonymous beacons with a different amount of noises and beaconing rates. It also achieves a better tracking accuracy than the MHT technique does, which is commonly used in the literature.…”

Section: Context-aware Privacy Schemementioning

confidence: 99%

Caps

Emara

Woerndl

Schlichter

2015

Proceedings of the 8th ACM Conference on Security &Amp; Privacy in Wireless and Mobile Networks

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Preserving location privacy in vehicular ad hoc networks (VANET) is an important requirement for public acceptance of this emerging technology. Many privacy schemes concern changing pseudonyms periodically to avoid linking messages. However, the spatiotemporal information contained in beacons makes vehicles traceable and the driver's privacy breached. Therefore, the pseudonym change should be performed in a mix-context to discontinue the spatial and temporal correlation of subsequent beacons. Such mixcontext is commonly accomplished by using a silence period or in predetermined locations (e.g., mix-zone). In this paper, we propose a location privacy scheme that lets vehicles decide when to change its pseudonym and enter a silence period and when to exit from it adaptively based on its context. In this scheme, a vehicle monitors the surrounding vehicles and enters silence when it finds one or more neighbors silent. It resumes beaconing with a new pseudonym when its actual state is likely to be mixed with the state of a silent neighbor. We evaluate this scheme against a global multi-target tracking adversary using simulated and realistic vehicle traces and compare it with the random silent period scheme. Furthermore, we evaluate the quality of service of a forward collision warning safety application to ensure its applicability in safety applications. We measure the quality of service by estimating the probability of correctly identifying the fundamental factors of that application using Monte Carlo analysis. CCS Concepts•Security and privacy → Pseudonymity, anonymity and untraceability; Privacy-preserving protocols; Usability in security and privacy;

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Section: Context-aware Privacy Schemementioning

confidence: 99%

Caps

Emara

Woerndl

Schlichter

2015

Proceedings of the 8th ACM Conference on Security &Amp; Privacy in Wireless and Mobile Networks

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“…e features of LBSs are very crucial to safety applications which require frequent vehicle status to be updated. In order to design and evaluate the privacy protection step, it considers the trade-off between the location privacy and the LBSs quality [64].…”

Section: Protection Technique Against Tracking Attackmentioning

confidence: 99%

“…Emara et al [64] presented a method to estimate the protection level of privacy and its influence on safety applications by evaluating the correct probability of particular application using Monte Carlo analysis. Additionally, the obfuscation privacy technique is introduced which disturbs position and beacon frequency.…”

Section: Protection Technique Against Tracking Attackmentioning

confidence: 99%

Security and Privacy in Vehicular Ad Hoc Network and Vehicle Cloud Computing: A Survey

Sheikh

Liang

Wang

2020

Wireless Communications and Mobile Computing

103

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Vehicular networks are becoming a prominent research field in the intelligent transportation system (ITS) due to the nature and characteristics of providing high-level road safety and optimized traffic management. Vehicles are equipped with the heavy communication equipment which requires a high power supply, on-board computing device, and data storage devices. Many wireless communication technologies are deployed to maintain and enhance the traffic management system. The ITS is capable of providing services to the traffic authorities and precautionary measures to the drivers and passengers. Several methods have been proposed for discussing the security and privacy issues for the vehicular ad hoc networks (VANETs) and vehicular cloud computing (VCC). They receive a great deal of attention from researchers around the world since they are new technologies, and they can improve road safety and enhance traffic flow by utilizing the vehicles resources and communication system. Firstly, the VANETs are presented, including the basic overview, characteristics, threats, and attacks. The location privacy methodologies are elaborated, which can protect the confidential information of the vehicle, such as the location detail and driver information. Secondly, the trust management models in the VANETs are comprehensively discussed, followed by the comparison of the cryptography and trust models in terms of different kinds of attacks. Then, the simulation tools and applications of the VANETs are discussed, and the evolution is presented from the VANETs to VCC in the vehicular network. Thirdly, the VCC is discussed from its architecture and the security and privacy issues. Finally, several research challenges on the VANETs and VCC are presented. In sum, this survey comprehensively covers the location privacy and trust management models of the VANETs and discusses the security and privacy issues in the VCC, which fills the gap of existing surveys. Also, it indicates the research challenges in the VANETs and VCC.

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“…Gao S. et al proposed a location and trajectory privacy protection mechanism by making use of participatory sensing. Also Karim Emara et al proposed a methodology for quantifying the protection level achieved by a privacy scheme against vehicle tracking. However, all these schemes have limitations and fail to take trajectory partition into account to provide effective privacy‐preserving for VANETs.…”

Section: Introductionmentioning

confidence: 99%

Differential privacy‐guaranteed trajectory community identification over vehicle ad‐hoc networks

Zhou

Qiao

Zhu

et al. 2017

Internet Technology Letters

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In vehicle ad‐hoc networks (VANETs), a large number of location‐based services can be provided for users according to their movement features. Meanwhile, privacy may be leaked when users publish true trajectory data to VANETs servers. Traditional privacy‐preserving methods have some limitations, for example, k‐anonymous have to predefine the adversaries' background knowledge. Therefore, this paper proposes a new algorithm to partition and cluster trajectories into a proper community with respect to the particularity of VANETs based on differential privacy. The experimental results show that our method outperforms the suppression algorithm and partition algorithm in perspective from information loss and operation efficiency.

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On evaluation of location privacy preserving schemes for VANET safety applications

Cited by 52 publications

References 22 publications

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Security and Privacy in Vehicular Ad Hoc Network and Vehicle Cloud Computing: A Survey

Differential privacy‐guaranteed trajectory community identification over vehicle ad‐hoc networks

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