On the use of a Cooperative Neighbor Position Verification scheme to secure warning message dissemination in VANETs

Fogue, Manuel; Martínez, Francisco J.; Garrido, Piedad; Fiore, Marco; Chiasserini, Carla-Fabiana; Casetti, Claudio; Cano, Juan-Carlos; Calafate, Carlos T.; Manzoni, Pietro

doi:10.1109/lcn.2013.6761248

Cited by 8 publications

(6 citation statements)

References 10 publications

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“…Many different data fusion techniques are proposed [10], [11], depending on the specific problem that they solve and the sources of data [9]. Fusion of information can be used in different applications, from various positioning problems [8] to detecting false nodes in networks [7]. This approach is specially suitable for future smart cities equipped with a large number of sensors that may act as data sources not only for their citizens but for vehicles as well.…”

Section: A Motivationmentioning

confidence: 99%

Early detection of dangerous events on the road using distributed data fusion

Radak

Ducourthial

Cherfaoui

2014

2014 IEEE Vehicular Networking Conference (VNC)

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Intelligent transport systems are a fast developing area of research with great impact on everyday life. One of the main ideas in this area is to use all possible information, coming from vehicles and the infrastructure, in order to make the system "smarter" and avoid unwanted situations -collisions, accidents, bottlenecks... Sources of data are sometimes unreliable and may lead vehicles or the whole system to wrong conclusions and adaptations. We are presenting the application of a distributed data fusion algorithm to detect dangerous events on the road. This application is adapted to detect the possibility of encountering icy roads based on readings from wireless temperature sensors. It takes into account data not only directly obtained from sensors but also from the neighborhood of each element in the system. This way, we obtain a more robust solution that is flexible to the unreliabilities of the sources of data. We demonstrate the possibility to deduce proper results from unreliable data. The algorithm is tested in emulation, using data from a real testbed, to show the usefulness and correctness of our approach.

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Section: A Motivationmentioning

confidence: 99%

Early detection of dangerous events on the road using distributed data fusion

Radak

Ducourthial

Cherfaoui

2014

2014 IEEE Vehicular Networking Conference (VNC)

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“…On the use of a cooperative neighbour position verification scheme to secure warning message dissemination in VANETs" 2013, the author proposed a protocol named cooperative neighbour position and verification (CNPV) protocol which is based on proactive approach [10]. The scheme maximizes their performance when all the vehicles give correct information and when it gives position errors the performance gets reduced.…”

Section: Literature Survey Manuel Fogue Et Al "mentioning

confidence: 99%

Detection of Sybil Attack in VANETs

Kaur

Kaur²

2018

IJERMT

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Abstract:he vehicular adhoc network is the decentralized type of network. The vehicle nodes can join or leave the network when they want. In the such type of network security, routing and quality of service are the three major issues of the network. In the network malicious node is present which is responsible to trigger various types of active and passive attacks. The Sybil attack is the active types of attack in which malicious node change its identification multiple times. In this, paper various techniques are reviewed which are used to isolate malicious nodes from the network.

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“…In M. Fogue et al (2013), [16] the author proposed a protocol named cooperative neighbour position and verification (CNPV) protocol which is based on proactive approach. The scheme maximizes their performance when all the vehicles give correct information and when it gives position errors the performance gets reduced.…”

Section: In T Zhou Et Al 2011 [14] P2dap -Sybil Attacksmentioning

confidence: 99%

Various Techniques for Secure Routing in VANETs: A Review

Kaur¹,

Kaur²

2017

IJCA

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The vehicular adhoc networks is the type of network in which no central controller is present and due to which vehicle nodes may join or leave the network any time. In the vehicular adhoc network, vehicle to vehicle and vehicle to infrastructure type of communication is possible in the network. Due to self configuring nature of the network, many malicious nodes may join the network which is responsible to trigger various type of active and passive attacks. In this paper, techniques which are proposed to isolate and Sybil attack in the network are reviewed in terms of description and outcomes.

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On the use of a Cooperative Neighbor Position Verification scheme to secure warning message dissemination in VANETs

Cited by 8 publications

References 10 publications

Early detection of dangerous events on the road using distributed data fusion

Early detection of dangerous events on the road using distributed data fusion

Detection of Sybil Attack in VANETs

Various Techniques for Secure Routing in VANETs: A Review

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