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LAPTAS: lightweight anonymous privacy-preserving three-factor authentication scheme for WSN-based IIoT
Wireless Networks ( IF 3 ) Pub Date : 2021-01-02 , DOI: 10.1007/s11276-020-02523-9
Hossein Abdi Nasib Far , Majid Bayat , Ashok Kumar Das , Mahdi Fotouhi , S. Morteza Pournaghi , M. A. Doostari

Nowadays, wireless sensor networks (WSNs) are essential for monitoring and data collection in many industrial environments. Industrial environments are usually huge. The distances between the devices located in them can be vast; in this case, the Industrial Internet of Things (IIoT) leads to greater productivity and efficiency of industries. Furthermore, the sensor devices in IIoT have limited memory and constrained processing power, and using gateway nodes is inevitable to cover these vast areas and manage communications between industrial sensors. Security threats such as compromised devices, denial of service, and leakage of confidential information can incur hefty expenses and irreparable damage to industrial systems. Hence, in the IIoT hierarchical architecture, anonymous and mutual authentication between users, gateway nodes, and sensor nodes is essential to protect users and the system’s security and privacy. In this article, we propose a lightweight anonymous privacy-preserving three-factor authentication scheme for WSN-Based IIoT (LAPTAS). In LAPTAS, registered users can use their security smartcard to communicate with sensors and access their data. Moreover, the proposed scheme supports sensor node dynamic registration, password and biometric change, and revocation phase. Additionally, we evaluate and verify our scheme’s security formally using the Real-or-Random model and informally with the automatic cryptographic Protocol Verifier tool(ProVerif). Finally, our scheme is simulated by the OPNET network simulator and compared with other similar schemes to ensure that the LAPTAS meets all security and performance requirements.



中文翻译:

LAPTAS:基于WSN的IIoT的轻量级匿名保护隐私的三要素身份验证方案

如今,无线传感器网络(WSN)对于许多工业环境中的监视和数据收集至关重要。工业环境通常很大。位于其中的设备之间的距离可能很大;在这种情况下,工业物联网(IIoT)可以提高行业的生产率和效率。此外,IIoT中的传感器设备具有有限的内存和受限的处理能力,并且不可避免地要使用网关节点来覆盖这些广阔的区域并管理工业传感器之间的通信。诸如设备受损,服务拒绝以及机密信息泄漏之类的安全威胁会招致高额费用,并对工业系统造成无法弥补的损害。因此,在IIoT分层架构中,用户,网关节点,传感器节点对于保护用户以及系统的安全性和隐私至关重要。在本文中,我们为基于WSN的IIoT(LAPTAS)提出了一种轻量级的匿名隐私保护三要素身份验证方案。在LAPTAS中,注册用户可以使用其安全智能卡与传感器进行通信并访问其数据。此外,所提出的方案支持传感器节点动态注册,密码和生物特征更改以及撤销阶段。此外,我们正式使用Real-or-Random模型评估方案的安全性,并使用自动加密协议验证程序工具(ProVerif)非正式地评估和验证方案的安全性。最后,我们的方案由OPNET网络模拟器进行仿真,并与其他类似方案进行比较,以确保LAPTAS满足所有安全性和性能要求。

更新日期:2021-01-02
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