中圖分類號(hào)：TP393
文獻(xiàn)標(biāo)識(shí)碼：A
DOI： 10.19358/j.issn.2096-5133.2020.01.005
引用格式：沈?qū)m新，宋楚平,。一種支持工業(yè)物聯(lián)網(wǎng)故障檢測(cè)的混合互認(rèn)證方案［J］,。信息技術(shù)與網(wǎng)絡(luò)安全，2020,39（1）：24-30.

A mixed mutual authentication scheme supporting faultdetection in industrial Internet of Things

Abstract： In the industrial Internet of Things （IIoT）,，industrial robots and employees play a very important role in the manufacturing process.A safe and efficient industrial robot and employee certification program has always been a research hotspot and faces many challenges.For example,industrial robots and employees are vulnerable to simulation and desynchronization attacks during the authentication phase.At the same time,it is difficult for the control center to find uncontrolled industrial robots.Aiming at the above situation,a hybrid mutual authentication scheme supporting industrial IoT fault detection is proposed.Elliptic Curve Cryptography （ECC）based authentication and physical unclonable function （PUF）based authentication are designed for employees and industrial robots,respectively.Thresholdbased fault detection is used,and a disable table is added to prevent unauthorized employees from accessing the Supervison Control and Data Acquisition Center （SCDAC）,。Finally,the analysis demonstrates the feasibility and efficiency of the program.

Key words : industrial Internet of Things;ECC certification;PUF certification;hreshold detection