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Procedia Computer Science
Article . 2019 . Peer-reviewed
License: CC BY NC ND
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Procedia Computer Science
Article
License: CC BY NC ND
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A Cluster of CP-ABE Microservices for VANET

Authors: Mohammad Bany Taha; Chamseddine Talhi; Hakima Ould-Slimanec;

A Cluster of CP-ABE Microservices for VANET

Abstract

Abstract The promising high data rate of a 5G network enables the reality of Vehicular Ad Hoc Networks (VANET). VANETS are ad-hoc networks and they have limited resources. Providing the confidentiality of data by an access control system in a highly dynamic and automated network is a major challenge. Ciphertext Policy Attribute Based Encryption (CP-ABE) enables the encryption of the access control system to provide the confidentiality of data in a broadcast message. However, as CP-ABE is a form of public key encryption, it consumes high resources. That is a feasibility issue in VANET networks. In this paper, we designing a new algorithm that distribute the CP-ABE encryption tasks on the vehicles cluster. In our scheme, we use Kubernetes to build a cluster of vehicles. Applying CP-ABE microservices to ensure the confidentiality of data greatly mitigates the computation cost on vehicle resources. Our scheme allows to distribute CP-ABE tasks between vehicles using (V2V) connection without needing assistant network components such as a Road-Side Unit (RSU). In our algorithm, we distribute the encryption tasks based on the resource information of vehicles that Kubernetes collect to reduce the execution time of CP-ABE operations. We provide a numerical analysis for our algorithm and discuss our results.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Top 10%
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