Framework for security and privacy in automotive telematics

Abstract-Communication messages in vehicular ad hoc networks (VANET) can be used to locate and track vehicles. While tracking can be beneficial for vehicle navigation, it can also lead to threats on location privacy of vehicle user. In this paper, we address the problem of mitigating unauthorized tracking of vehicles based on their broadcast communications, to enhance the user location privacy in VANET. Compared to other mobile networks, VANET exhibits unique characteristics in terms of vehicular mobility constraints, application requirements such as a safety message broadcast period, and vehicular network connectivity. Based on the observed characteristics, we propose a scheme called AMOEBA, that provides location privacy by utilizing the group navigation of vehicles. By simulating vehicular mobility in freeways and streets, the performance of the proposed scheme is evaluated under VANET application constraints and two passive adversary models. We make use of vehicular groups for anonymous access to location based service applications in VANET, for user privacy protection. The robustness of the user privacy provided is considered under various attacks.

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“…In [5], [43], the various security and privacy challenges in vehicular networks are discussed. Hubaux et.…”

Section: A Vanet Security and Privacymentioning

confidence: 99%

AMOEBA: Robust Location Privacy Scheme for VANET

Sampigethaya

Huang³

et al. 2007

IEEE J. Select. Areas Commun.

395

321

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“…Policy enforcement approaches [1][2][3][4][5] require that a user should be informed about location privacy policies and explicitly give consent to a service provider before the service starts. Technological approaches attempt to tackle this major privacy concern by anonymizing service requesters' location information sent to the location based server while still provide quality location based services.…”

Section: Introductionmentioning

confidence: 99%

Cloaking locations for anonymous location based services: a hybrid approach

Zhang

Huang

2008

Geoinformatica

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Abstract. An important privacy issue in Location Based Services(LBS) is to hide a user's identity while still provide quality location based services. Previous work has addressed the problem of locational K-anonymity either based on centralized or decentralized schemes. However, a centralized scheme relies on an anonymizing server(AS) for location cloaking, which may become the performance bottleneck when there are large number of clients. More importantly, holding information in a centralized place is more vulnerable to malicious attacks. A decentralized scheme depends on peer communication to cloak locations and is more scalable. However, it may pose too much computation and communication overhead to the clients. The service fulfillment rate may also be unsatisfied especially when there are not enough peers nearby. This paper proposes a new hybrid framework called HiSC that balances the load between the AS and mobile clients. HiSC partitions the space into base cells and a mobile client claims a surrounding area consisting of base cells. The number of mobile clients in the surrounding cells is kept and updated at both client and AS sides. A mobile client can either request cloaking service from the centralized AS or use a peer-to-peer approach for spatial cloaking based on personalized privacy, response time, and service quality requirements. HiSC can elegantly distribute the work load between the AS and the mobile clients by tuning one system parameter base cell size and two client parameters -surrounding cell size and tolerance count. By integrating salient features of two schemes, HiSC successfully preserves query anonymity and provides more scalable and consistent service. Both the AS and the clients can enjoy much less work load. Additionally, we propose a simple yet effective RRS(random range shifting)algorithm to prevent possible privacy leakage that would exist in the original P2P approach. Our experiments show that HiSC can elegantly balance the work load based on privacy requirements and client distribution. HiSC provides close to optimal service quality. Meanwhile, it reduces the response time by more than an order of magnitude from both the P2P scheme and the centralized scheme when anonymity level(value of K) or number of clients is large. It also reduces the update message cost of the AS by nearly 6 times and the peer searching message cost of the clients by more than an order of magnitude.

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“…Till now, there have been only a few cases which have ended in litigation over the accuracy of a location fix, but as the number of LBS adopters sets to grow for niche application areas, it is predicted that a greater number of conflicts may arise between the end-user and stakeholders. Liability is a key issue here, as is privacy [1].…”

Section: Introductionmentioning

confidence: 99%

Location-based intelligence - modeling behavior in humans using GPS

Michael

McNamee

Michael

et al. 2006

2006 IEEE International Symposium on Technology and Society

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This paper introduces the notion of location-based intelligence by tracking the spatial properties and behavior of a single civilian participant over a two-week study period using a global positioning system (GPS) receiver, and displaying them on a geographic information system (GIS). The paper clearly shows the power of combining speed (S), distance (D), time (T) and elevation (E) data with the exact longitude and latitude position of the user. The issues drawn from the observation and the civilian's personal diary are useful in understanding the social implications of tracking and monitoring objects and subjects using GPS. The findings show that while GPS has been used in some very innovative ways, there are a plethora of ethical dilemmas associated with its use on civilians, even if they are requesting a given service and paying for its utilization. From the information recorded during the field observation, a number of inherent technical limitations in GPS were identified which add to the complexity of such related areas as law and commerce. In conclusion, while the benefits of GPS for specific applications is apparent, safeguards need to be put in place to ensure that information gathered by the GPS is not misused or abused. One can envisage that if the wrong hands obtain location information records for individual subscribers that the potential exposure and risk might be even greater than that of stolen credit cards.

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Framework for security and privacy in automotive telematics

Cited by 31 publications

References 5 publications

AMOEBA: Robust Location Privacy Scheme for VANET

AMOEBA: Robust Location Privacy Scheme for VANET

Cloaking locations for anonymous location based services: a hybrid approach

Location-based intelligence - modeling behavior in humans using GPS

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