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作 者:Ping Dong Namin Hou Yuting Tang Yushi Cheng Xiaoyu Ji
机构地区:[1]Huaxin Consulting Co.,Ltd,Hangzhou 310013,China [2]College of Electrical Engineering,Zhejiang University,Hangzhou 310013,China [3]Hangzhou Zhuoxi Institute of Brain and Intelligence,Hangzhou 310013,China
出 处:《High-Confidence Computing》2024年第4期23-33,共11页高置信计算(英文)
基 金:supported by the National Natural Science Foun-dation of China(62271280,62222114,61925109,and 62071428).
摘 要:The development of wireless communication network technology has provided people with diversified and convenient services.However,with the expansion of network scale and the increase in the number of devices,malicious attacks on wireless communication are becoming increasingly prevalent,causing significant losses.Currently,wireless communication systems authenticate identities through certain data identifiers.However,this software-based data information can be forged or replicated.This article proposes the authentication of device identity using the hardware fingerprint of the terminal’s Radio Frequency(RF)components,which possesses properties of being genuine,unique,and stable,holding significant implications for wireless communication security.Through the collection and processing of raw data,extraction of various features including time-domain and frequency-domain features,and utilizing machine learning algorithms for training and constructing a legal fingerprint database,it is possible to achieve close to a 97%recognition accuracy for Fifth Generation(5G)terminals of the same model.This provides an additional and robust hardware-based security layer for 5G communication security,enhancing monitoring capability and reliability.
关 键 词:Radio Frequency fingerprint 5G terminal authentication Wireless security Mobile communication networks
分 类 号:TN9[电子电信—信息与通信工程]
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