一种雾计算辅助的工业物联网四方高效认证协议OA
Efficient four-party authentication scheme for IIoT enabled by fog computing
针对工业物联网逐步向云-雾-端协同架构演进过程中传感器设备面临的窃听、窜改、捕获等攻击威胁及敏感数据泄露问题,提出一种雾辅助下四方分段差异化认证与密钥协商协议.该协议依据云服务器、雾节点、用户端与传感器设备在计算与存储能力上的差异性,采用不同密码原语分段设计身份认证与密钥协商,即在云服务器和雾节点间采用椭圆曲线加密算法,在传感器设备和雾节点之间以及用户和云服务器之间采用轻量级运算.同时,该协议结合物理不可克隆函数为传感器生成唯一且不可复制的硬件指纹,并引入模糊提取函数以抵御传感器捕获、假冒等攻击.与现有几种认证密钥协商协议相比,所提协议的总计算开销分别降低了93.28%、93.56%、88.44%和86.70%,通信开销相较部分协议分别减少了11.30%、16.02%、19.08%,在安全性对比部分,所提协议满足多种安全属性,整体性能优于对比协议.综上,该协议在保障安全性的同时显著降低了计算与通信开销,满足工业物联网低延时和高效率的实际需求.
To address the threats of eavesdropping,tampering,capture attacks,and sensitive data leakage faced by sensor de-vices in the evolving cloud-fog-end collaborative architecture of IIoT,this paper proposed a fog-assisted four-party segmented authentication and key agreement protocol.Based on the heterogeneous computational and storage capabilities of the cloud ser-ver,fog node,user terminal,and sensor device,the protocol adopted differentiated cryptographic primitives in a segmented de-sign:it used elliptic curve cryptography(ECC)between the cloud and fog layers,while applied lightweight operations between the fog and sensor,and between the user and cloud.In addition,the protocol employed physically unclonable function(PUF)to generate unique and unforgeable hardware fingerprints for sensor devices,and integrated fuzzy extractors to resist capture and impersonation attacks.Compared with several existing authentication and key agreement schemes,the proposed protocol reduces total computational cost by 93.28%,93.56%,88.44%,and 86.70%,and lowers communication overhead by 11.30%,16.02%,and 19.08%in certain comparisons.Security analysis confirms that the protocol satisfies multiple security properties and demonstrates superior overall performance.In summary,the proposed scheme achieves strong security while significantly reducing computational and communication overhead,meeting the practical requirements of low latency and high efficiency in IIoT environments.
王雄;张泽昊;胡子宸;李伟麟;王文博
北京电子科技学院网络空间安全系,北京 100070北京电子科技学院网络空间安全系,北京 100070北京电子科技学院网络空间安全系,北京 100070北京电子科技学院网络空间安全系,北京 100070北京电子科技学院网络空间安全系,北京 100070
信息技术与安全科学
雾计算工业物联网身份认证协议椭圆曲线密码学物理不可克隆函数
fog computingIndustrial Internet of Things(IIoT)authentication protocolelliptic curve cryptographyphysically unclonable functions
《计算机应用研究》 2026 (2)
588-595,8
中央高校基本科研业务费专项资金资助项目(3282024056,3282024022,3282023052)
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