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首页> 外文期刊>International journal of communication systems >SEBAP: A secure and efficient biometric-assisted authentication protocol using ECC for vehicular cloud computing
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SEBAP: A secure and efficient biometric-assisted authentication protocol using ECC for vehicular cloud computing

机译:Sebap:使用ECC用于车辆云计算的安全有效的生物识别认证协议

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摘要

Vehicular cloud computing (VCC) is an emerging research area of cloud and vehicular networking. It equips vehicles with networking and sensing capacities for vehicle-to-vehicle or vehicle-to-infrastructure communication with available roadside infrastructure. It is significantly utilized in traffic management and road safety using cloud applications. To obtain impressive networking in vehicular communication, there is a need of hybrid technological approach in the form of VCC utilizing vehicular resources, cloud infrastructure, and Internet of Things (IoT) environment. VCC presents smart vehicular communication structure and maintains autonomous traffic, improved vehicle control, and enhanced system security. Security and privacy has appeared to be a major concern in VCC because of involvement of unknown vehicles and infrastructure via public network. In this article, we propose a biometric and elliptic curve cryptography (ECC)-assisted authentication framework for VCC. The presented framework obtains most of security features and attributes for secure communication in the presence of active and passive attackers. Further, we provide formal security model and its proof, which is based on random oracle model. We compare the performance of our protocol with similar frameworks in the same environment. Our analysis indicates that the presented framework is secure and efficient in terms of communication and computation overheads. As a result, the presented protocol can be utilized in VCC.
机译:车辆云计算(VCC)是云和车辆网络的新兴研究领域。它将具有网络和传感能力的车辆提供与可用的路边基础设施的车辆到车辆或车辆到基础设施的能力。它在使用云应用程序的交通管理和道路安全性中显着利用。为了获得车辆通信中令人印象深刻的网络,需要具有VCC的形式的混合技术方法,利用车辆资源,云基础设施和物联网(IOT)环境。 VCC呈现智能车辆通信结构,维护自动流量,改进的车辆控制和增强的系统安全性。由于通过公共网络参与未知的车辆和基础设施,安全和隐私似乎是VCC中的一个主要问题。在本文中,我们为VCC提出了一种生物识别和椭圆曲线密码(ECC)归类认证框架。呈现的框架在存在主动和被动攻击者的情况下获取大部分安全功能和属性,以获得安全通信。此外,我们提供正式的安全模型及其证明,基于随机的Oracle模型。我们将协议的性能与同一环境中的类似框架进行比较。我们的分析表明,在通信和计算开销方面,所呈现的框架是安全和有效的。结果,所呈现的协议可以在VCC中使用。

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