A lightweight attribute-based encryption scheme for the Internet of Things

Yao, Xuanxia; Chen, Zhi; Tian, Yuan

doi:10.1016/j.future.2014.10.010

Cited by 295 publications

(168 citation statements)

References 22 publications

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“…However, the approach is not general (it is based on Linux) and is limited by a very abstract description of resources and also the description is restricted to a very few number of predefined general attributes. In addition to the attributed-based description languages, there are a number of recent attributedbased (resource information) encryption methods in the current literature including [154][155][156][157][158][159] which are mostly applicationoriented. And in fact, they are not flexible and even efficient to be used for different applications.…”

Section: Ontology and Resource Descriptionmentioning

confidence: 99%

Resource discovery for distributed computing systems: A comprehensive survey

Zarrin

Aguiar

Barraca

2018

Journal of Parallel and Distributed Computing

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Section: Ontology and Resource Descriptionmentioning

confidence: 99%

Resource discovery for distributed computing systems: A comprehensive survey

Zarrin

Aguiar

Barraca

2018

Journal of Parallel and Distributed Computing

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“…However, the approach is not general (it is based on linux) and is limited by very abstract description of resources and also the description is restricted to a very few number of predefined general attributes. In addition to the attributed-based description languages, there are a number of [64][65][66][67][68][69] which are mostly application-oriented. And in fact, they are not really flexible and even efficient to be used for different applications (in this paper we proposed our own encryption method).…”

Section: Resource Descriptionmentioning

confidence: 99%

HARD: Hybrid Adaptive Resource Discovery for Jungle Computing

Zarrin

Aguiar

Barraca

2017

Journal of Network and Computer Applications

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link AbstractIn recent years, Jungle Computing has emerged as a distributed computing paradigm based on simultaneous combination of various hierarchical and distributed computing environments which are composed by large number of heterogeneous resources. In such a computing environment, the resources and the underlying computation and communication infrastructures are highly-hierarchical and heterogeneous. This creates a lot of difficulty and complexity for finding the proper resources in a precise way in order to run a particular job on the system efficiently. This paper proposes Hybrid Adaptive Resource Discovery (HARD), a novel efficient and highly scalable resource-discovery approach which is built upon a virtual hierarchical overlay based on self-organization and self-adaptation of processing resources in the system, where the computing resources are organized into distributed hierarchies according to a proposed hierarchical multi-layered resource description model. The proposed approach supports distributed query processing within and across hierarchical layers by deploying various distributed resource discovery services and functionalities in the system which are implemented using different adapted algorithms and mechanisms in each level of hierarchy. The proposed approach addresses the requirements for resource discovery in Jungle Computing environments such as high-hierarchy, high-heterogeneity, high-scalability and dynamicity. Simulation results show significant scalability and efficiency of the proposed approach over highly heterogeneous, hierarchical and dynamic computing environments.Keywords: distributed operation systems, many-core systems, P2P, resource management, grid computing, DHT

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“…The lABE scheme of [10] based on elliptic curve cryptography consists of Setup, Encryption, Key-Generation, and Decryption algorithms.…”

Section: Lightweight Abe Schemementioning

confidence: 99%

“…In the lABE scheme [10], secret sharing based on Lagrange interpolation [Shamir] is used to reconstruct the decryption key.…”

Section: Labedecryptmentioning

confidence: 99%

“…We make use of certificateless signature scheme to assure the authentication of legitimate vehicles which can enjoy the provided services [9]. ABE is adopted to guarantee rigorous access control based on the provided access structure [10]. Hash chain technique is to used to guarantee the authorization property through electronic voucher which a vehicle has to possess before enjoying any giving service [11].…”

Section: Introductionmentioning

confidence: 99%

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A secure billing protocol over attribute-based encryption in vehicular cloud computing

Nkenyereye

Rhee

2016

J Wireless Com Network

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The integration of cloud computing into vehicular ad hoc networks (VANETs) has allowed the possibility of offering multiple services to the vehicle owners ranging from safety to entertainment services. The ubiquitousness of cloud computing involves a multitude of service providers; thus, an efficient and secure access control mechanism is required. However, rigorous security features need to be addressed for such commercial-based services to be fully adopted. In this paper, we present a secure billing protocol over attribute-based encryption in vehicular cloud computing. We achieve the identity privacy of the vehicles and their requested services through pseudonym techniques. Certificateless signature scheme is used to assure the authentication of legitimate vehicles which can enjoy the provided services. We use attribute-based encryption to guarantee access control based on the purchased services. We make use of hash chain technique to provide authorization through electronic voucher (credits) which a vehicle has to possess in order to purchase a service. Unlike existing protocols in VANETS, the proposed protocol is not built on expensive bilinear pairing operations. We provide the efficiency of the proposed protocol through performance analysis and simulation.

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A lightweight attribute-based encryption scheme for the Internet of Things

Cited by 295 publications

References 22 publications

Resource discovery for distributed computing systems: A comprehensive survey

Resource discovery for distributed computing systems: A comprehensive survey

HARD: Hybrid Adaptive Resource Discovery for Jungle Computing

A secure billing protocol over attribute-based encryption in vehicular cloud computing

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