通信学报2023，Vol.44Issue(11)：120-128,9.DOI:10.11959/j.issn.1000-436x.2023231
基于异构导频能量估计的边缘节点导频攻击检测算法
Pilot spoofing detection algorithm for edge nodes based on heterogeneous pilot energy estimation
摘要
Abstract
For the federated learning scenarios with edge-end cooperation,edge servers and device terminals update their models and exchange gradient parameters frequently,and hence eavesdroppers can manipulate channel estimation through pilot spoofing to intercept the transmitted information and reduce the update efficiency of federated learning model.Therefore,a pilot attack detection algorithm with heterogeneous pilot energy estimation was proposed.Firstly,a federated learning pilot attack system model was constructed after the security of pilot attacks on data transmission had been analyzed.Then,a pilot attack detection method based on random segmentation and encryption methods was pro-posed to detect the pilot spoofing accurately and the contaminated channel could be recovered as well.Experimental re-sults show that the proposed algorithm is more suitable for detecting pilot attacks with low transmit power and strong concealment compared to other existing algorithms.Furthermore,the data transmission rate of edge servers is improved significantly through the precoding based on the recovered channel state information.关键词
导频攻击检测/能量估计/攻击对抗/边缘计算Key words
pilot spoofing detection/energy estimation/attack combating/edge computing分类
信息技术与安全科学引用本文复制引用
王仕果,田淑娟,邓清勇..基于异构导频能量估计的边缘节点导频攻击检测算法[J].通信学报,2023,44(11):120-128,9.基金项目
国家自然科学基金资助项目(No.62372065,No.62172349,No.62076214) （No.62372065,No.62172349,No.62076214）
湖南省自然科学基金项目(No.2023JJ30597,No.2021JJ30737) （No.2023JJ30597,No.2021JJ30737）
湖南省教育厅基金资助项目(No.21B0139) （No.21B0139）
中国科学院计算科学国家重点实验室开放基金资助项目(No.SYSKF2101) The National Natural Science Foundation of China(No.62372065,No.62172349,No.62076214),The Natural Science Foundation of Hunan Province(No.2023JJ30597,No.2021JJ30737),The Research Foundation of Education Bureau of Hu-nan Province(No.21B0139),The Open Project of the State Key Laboratory of Computer Science,Institute of Software,Chinese Academy of Sciences(No.SYSKF2101) （No.SYSKF2101）
