Efficient secure aggregation in VANETs

Raya, Maxim; Aziz, Adel; Hubaux, Jean-Pierre

doi:10.1145/1161064.1161076

Cited by 197 publications

(148 citation statements)

References 12 publications

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“…Given that the set of witness vehicles for a given one in a certain moment could be seen as a group, previous works on group formation and communication could be considered [21,22]. Given the high mobility of vehicles, it could be possible that the intended group members were not present when they are requested.…”

Section: Related Workmentioning

confidence: 99%

WEVAN – A mechanism for evidence creation and verification in VANETs

Fuentes

González-Manzano

González-Tablas

et al. 2013

Journal of Systems Architecture

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There are traffic situations (e.g. incorrect speeding tickets) in which a given vehicle's driving behavior at some point in time has to be proved to a third party. Vehicle-mounted sensorial devices are not suitable for this matter since they can be maliciously manipulated. However, surrounding vehicles may give their vision on another one's behavior. Furthermore, these data may be shared with the affected vehicle through VANETs. In this paper, a VANET-enabled data exchange mechanism called WEVAN is presented. The goal of this mechanism is to build and verify evidences based on surrounding vehicles (called witnesses) testimonies. Due to the short-range nature of VANETs, the connectivity to witnesses may be reduced with time -the later their testimonies are requested, the lower the amount of witnesses may be. Simulation results show that if testimonies are ordered 5 seconds later, an average of 38 testimonies may be collected in highway scenarios. Other intervals and road settings are studied as well.

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Section: Related Workmentioning

confidence: 99%

WEVAN – A mechanism for evidence creation and verification in VANETs

Fuentes

González-Manzano

González-Tablas

et al. 2013

Journal of Systems Architecture

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“…To facilitate communication and security enforcement, vehicles are partitioned into groups according to certain clustering rules. Readers can refer to related work [9] for details about group management. Data aggregation is performed within each group.…”

Section: A System Modelmentioning

confidence: 99%

“…The road is dissected into small sections which basically define different groups. A vehicle equipped with GPS can automatically know its group by comparing its GPS position to the preloaded road map with sections indicated [9][22].…”

Section: A Group Formation and Managementmentioning

confidence: 99%

“…A vehicle in the network can increase its transmission power in case that its desired parent is out of range. Maximum transmission radius is as high as 250 m [9]. However larger transmission radius incurs more communication overhead and more severe contention over the wireless medium.…”

Section: B Location-aware Aggregation Tree Constructionmentioning

confidence: 99%

“…Existing approaches regard digital signatures as the building block of secure data aggregation [6] [7][8] [9]. In IEEE 1609.2 standard [10], Elliptic Curve Digital Signature Algorithm (ECDSA) is used to provide authentication and non-repudiation.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

ASIA: Accelerated secure in-network aggregation in vehicular sensing networks

Wang

Tague

2013

2013 IEEE International Conference on Sensing, Communications and Networking (SECON)

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Abstract-Vehicular Ad-Hoc Networks (VANETs) can potentially become a sensing platform. In-network aggregation, a fundamental primitive for querying sensory data, has been shown to reduce overall communication overhead at large. To secure data aggregation in VANETs, existing schemes mainly rely on digital signatures. However, generating and verifying such signatures can cause high computational overhead. More importantly, timeconsuming verifications lead to the vulnerability to signature flooding attacks in which a receiver cannot timely verify all messages before their respective deadlines. In this paper, we propose ASIA as an Accelerated Secure In-network Aggregation strategy that can accelerate message verifications and significantly reduce computational overhead while retaining satisfactory security. We replace the most common tree graph with a directed acyclic graph as the aggregation structure. Resulting redundancy in information flow offers the opportunity for misbehavior detection. Meanwhile, by leveraging time asymmetry, upstream nodes in the structure can verify downstream messages through the modified light-weight TESLA scheme. We analyze the security properties of ASIA and provide evaluation results. We show that ASIA can largely accelerate message verifications and drastically reduce computational and communication overhead compared to existing schemes using the resource-consuming Elliptic Curve Digital Signature Algorithm.

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Security in Wireless Ad Hoc Networks

Pietro

Domingo‐Ferrer

2013

Mobile Ad Hoc Networking

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Efficient secure aggregation in VANETs

Cited by 197 publications

References 12 publications

WEVAN – A mechanism for evidence creation and verification in VANETs

WEVAN – A mechanism for evidence creation and verification in VANETs

ASIA: Accelerated secure in-network aggregation in vehicular sensing networks

Security in Wireless Ad Hoc Networks

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