Artificial intelligence in physiological characteristics recognition for internet of things authentication

作     者：Zhimin Zhang Huansheng Ning Fadi Farha Jianguo Ding Kim-Kwang Raymond Choo Zhimin Zhang;Huansheng Ning;Fadi Farha;Jianguo Ding;Kim-Kwang Raymond Choo

作者机构：School of Computer and Communication EngineeringUniversity of Science and Technology BeijingBeijing100083China Beijing Engineering Research Center for Cyberspace Data Analysis and ApplicationsBeijing100083China Faculty of Informatics EngineeringAleppo UniversityAleppoSyria Department of Computer ScienceBlekinge Institute of Technology37179KarlskronaSweden Department of Information Systems and Cyber SecurityUniversity of Texas at San AntonioSan AntonioTX78249-0631USA 

出 版 物：《Digital Communications and Networks》 (数字通信与网络（英文版）)

年 卷 期：2024年第10卷第3期

页      面：740-755页

核心收录：

学科分类：1305[艺术学-设计学（可授艺术学、工学学位）] 13[艺术学] 081104[工学-模式识别与智能系统] 08[工学] 0804[工学-仪器科学与技术] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 

基　　金：funded in part by the National Natural Science Foundation of China under Grant No.61872038 in part by the Fundamental Research Funds for the Central Universities under Grant No.FRF-GF-20-15B 

主　　题：Physiological characteristics recognition Artificial intelligence Internet of things Biological-driven authentication 

摘      要：Effective user authentication is key to ensuring equipment security,data privacy,and personalized services in Internet of Things(IoT)***,conventional mode-based authentication methods(e.g.,passwords and smart cards)may be vulnerable to a broad range of attacks(e.g.,eavesdropping and side-channel attacks).Hence,there have been attempts to design biometric-based authentication solutions,which rely on physiological and behavioral *** characteristics need continuous monitoring and specific environmental settings,which can be challenging to implement in ***,we can also leverage Artificial Intelligence(AI)in the extraction and classification of physiological characteristics from IoT devices processing to facilitate ***,we review the literature on the use of AI in physiological characteristics recognition pub-lished after *** use the three-layer architecture of the IoT(i.e.,sensing layer,feature layer,and algorithm layer)to guide the discussion of existing approaches and their *** also identify a number of future research opportunities,which will hopefully guide the design of next generation solutions.