A Unique PUF Authentication Protocol Based Fuzzy Logic Categorization for Internet of Things (IOT) Devices

J. S. Yalli, M. H. Hasan
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引用次数: 1

Abstract

IoT will be the main component of the next era of computing. IoT devices are increasing in number and will continue to increase due to automation. According to cisco, up to 50 billion devices and objects get connected with each other and to the internet in 2020 [1, 6]. IoT application domains includes smart environments, smart grid, smart cities, smart healthcare, smart industries, smart agriculture, smart home, smart transportation etc [2]. However, the IoT devices are characterized as resource constrained with low computational ability, lower power consumption and small memory. PUF is embedded on IoT device to uniquely identify the device. This characteristic feature of PUF is unique and unclonable, while fuzzy logic's ability to deal with uncertainty and hazy or vague information is used to categorize nodes by computing its record, status and reputation, so that nodes are authenticated according to the trust values it attained. The authentication is in three phases; first, second and third. With PUF's unique physical characteristics; authentication, reliability and lightweight are achieved.
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基于模糊逻辑分类的物联网设备PUF认证协议
物联网将成为下一个计算时代的主要组成部分。物联网设备的数量正在增加,并且由于自动化将继续增加。根据思科的数据,到2020年,将有多达500亿个设备和物体相互连接并连接到互联网[1,6]。物联网应用领域包括智能环境、智能电网、智慧城市、智能医疗、智能工业、智能农业、智能家居、智能交通等[2]。然而,物联网设备的特点是资源受限,计算能力低,功耗低,内存小。PUF嵌入物联网设备中,用于唯一标识设备。PUF的这一特征具有唯一性和不可克隆性,而模糊逻辑则利用其处理不确定性和模糊信息的能力,通过计算节点的记录、状态和信誉对节点进行分类,从而根据其获得的信任值对节点进行认证。认证分为三个阶段;第一,第二,第三。具有PUF独特的物理特性;实现了身份验证、可靠性和轻量级。
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