鼠标行为HHT变换的工业互联网用户身份认证

张一弓; 易茜; 李剑; 李聪波; 尹爱军; 易树平

doi:10.11959/j.issn.2096-3750.2022.00268

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鼠标行为HHT变换的工业互联网用户身份认证

理论与技术 | 更新时间：2024-06-05

- 鼠标行为HHT变换的工业互联网用户身份认证
- User authentication of industrial internet based on HHT transform of mouse behavior
- 物联网学报 2022年6卷第2期页码：77-87
- 作者机构：
  
  1. 重庆大学机械传动国家重点实验室，重庆 400044
  2. 重庆大学输配电装备及系统安全与新技术国家重点实验室，重庆 400044
- 作者简介：
  
  [ "张一弓（1996− ），男，重庆大学电气学院博士生，主要研究方向为网络用户行为模式与可信交互、电力物联网" ]
  [ "易茜（1986−），女，博士，重庆大学讲师、硕士生导师，主要研究方向为网络用户行为模式与可信交互、智能制造系统、绿色制造等" ]
  [ "李剑（1971− ），男，博士，重庆大学教授、博士生导师，国家杰出青年科学基金获得者，主要研究方向为电工绝缘新材料、电力装备智能化、物联网等" ]
  [ "李聪波（1981− ），男，博士，重庆大学教授、博士生导师，主要研究方向为绿色制造、智能制造系统、制造系统工程等" ]
  [ "尹爱军（1978− ），男，博士，重庆大学教授、博士生导师，主要研究方向为智能测试仪器、工业大数据智能运维系统、设备故障诊断与预测、高端装备等" ]
  [ "易树平（1960− ），男，博士，重庆大学教授、博士生导师，主要研究方向为工业工程理论与技术、数字化背景下的人因工程、智能制造等" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(71671020);中央高校基本科研业务费资助项目;The Fundamental Research Funds for the Central Universities(2021CDJKYJH022)
- DOI：10.11959/j.issn.2096-3750.2022.00268
  中图分类号： TP273
- 纸质出版日期：2022-06-30，
  
  网络出版日期：2022-06，
- 稿件说明：
移动端阅览
张一弓, 易茜, 李剑, 等. 鼠标行为HHT变换的工业互联网用户身份认证[J]. 物联网学报, 2022,6(2):77-87.

YIGONG ZHANG, QIAN YI, JIAN LI, et al. User authentication of industrial internet based on HHT transform of mouse behavior. [J]. Chinese journal on internet of things, 2022, 6(2): 77-87.
张一弓, 易茜, 李剑, 等. 鼠标行为HHT变换的工业互联网用户身份认证[J]. 物联网学报, 2022,6(2):77-87. DOI： 10.11959/j.issn.2096-3750.2022.00268.

YIGONG ZHANG, QIAN YI, JIAN LI, et al. User authentication of industrial internet based on HHT transform of mouse behavior. [J]. Chinese journal on internet of things, 2022, 6(2): 77-87. DOI： 10.11959/j.issn.2096-3750.2022.00268.

摘要

工业互联网的快速发展引发了对网络安全的广泛关注，终端用户身份认证技术成为研究热点。根据工业互联网人机交互特点，设计了实验网站，收集了该网站 24 名用户两年半的非受控环境下鼠标行为数据作实例，采用希尔伯特黄变换（HHT

Hilbert-Huang transform）提取鼠标行为信号频域特征，结合时域特征，形成163维时频域联合特征矩阵，用于表征用户鼠标行为模式特征。使用 Bagged tree、支持向量机（SVM

support vector machine）、Boost tree和K最邻近（KNN

K-nearest neighbor）算法构建网络用户身份认证模型，对比数据测试结果表明，Bagged tree算法在本案例中内部检测效果最佳，平均错误接受率（FAR

false acceptance rate）为0.12%、平均错误拒绝率（FRR

false rejection rate）为0.28%；外部检测中，平均FAR为1.47%。相较于传统鼠标动力学方法，使用HHT提取鼠标行为频域信息能更好地实现终端用户身份认证，为保障工业互联网安全提供有效的技术支撑。

Abstract

The rapid development of the industrial internet had caused widespread concern about the network security

and the end-user authentication technology was considered a research hotspot.According to the characteristics of human-computer interaction in industrial internet

an experimental website was designed.24 users' mouse behavior data in an uncontrolled environment were collected within 2.5 years to conduct case studies.Hilbert-Huang transform (HHT) was used to extract frequency domain features of mouse behavior signals

combined with time domain features to form a time-frequency joint domain feature matrix of 163-dimensional to characterize user mouse behavior patterns.Bagged tree

support vector machine (SVM)

Boost tree and K-nearest neighbor (KNN) were used to build a user authentication model， and the comparison result showed that the Bagged tree had the best internal detection effect in this case

with an average false acceptance rate (FAR) of 0.12% and an average false rejection rate (FRR) of 0.28%.In external detection

the FAR was 1.47%.Compared with the traditional mouse dynamics method

the frequency domain information of mouse behavior extracted by HHT can better realize the user authentication

and provide technical support the security of the industrial internet.

关键词

工业互联网身份认证鼠标行为希尔伯特黄变换Baggedtree

Keywords

industrial internetidentity authenticationmouse behaviorHilbert-Huang transformBagged tree

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