全球定位系统2024，Vol.49Issue(4)：86-91,6.DOI:10.12265/j.gnss.2024034
基于长短期记忆网络的授时欺骗检测方法
The time spoofing detection method based on Long Short-Term Memory network
摘要
Abstract
Temporal and spatial information security is fundamental to the safety of national critical infrastructure.Disruption or interference with the time system can cause significant economic losses to the nation,and even pose a substantial threat to defense security.Existing timing deception detection methods primarily establish models based on the characteristics of changes in the receiver's clock model to detect deception.However,due to the uncertainty of attack methods and the system errors inherent in the established receiver clock model calculation and fitting process,accurate fitting of the clock model parameters is difficult,and the environmental adaptability is low.To address this,this paper proposes a timing deception detection method based on the Long Short-Term Memory(LSTM)network.This method does not require consideration of the attack methods of timing deception,and has strong generalization capabilities.By utilizing the excellent time series prediction ability of LSTM,the method accurately tracks the trend of changes in receiver clock differences before and after timing deception based on the characteristics of these changes,achieving effective detection of timing deception interference.Finally,experiments and analyses are conducted using TEXBAT(Texas spoofing test battery)timing deception scenario data,and a comparison is made between LSTM and Multilayer Perceptron(MLP)networks.The results indicate that the performance of LSTM timing deception detection is superior to that of MLP.关键词
授时欺骗/机器学习/长短期记忆网络(LSTM)/欺骗检测/接收机钟差Key words
spoofing detection/LSTM/time spoofing/machine learning/receiver clock deviation分类
天文与地球科学引用本文复制引用
盛孟刚,盛思缘,邓敏,王礼亮,姚志强..基于长短期记忆网络的授时欺骗检测方法[J].全球定位系统,2024,49(4):86-91,6.基金项目
国家重点研发计划(2020YFA0713502) （2020YFA0713502）
湖南创新型省份建设专项经费资助(2023GK1040) （2023GK1040）
