基于异构导频能量估计的边缘节点导频攻击检测算法

doi:10.11959/j.issn.1000-436x.2023231

通信学报 ›› 2023, Vol. 44 ›› Issue (11): 120-128.doi: 10.11959/j.issn.1000-436x.2023231

• 专题：复杂环境下分布式边缘智能 • 上一篇

基于异构导频能量估计的边缘节点导频攻击检测算法

王仕果¹, 田淑娟², 邓清勇³

¹ 长沙理工大学计算机与通信工程学院，湖南长沙 410076
² 湘潭大学计算机学院，湖南湘潭 411105
³ 广西师范大学计算机学院，广西桂林 541001

修回日期:2023-11-14 出版日期:2023-11-01 发布日期:2023-11-01
作者简介:王仕果（1975− ），男，湖南隆回人，博士，长沙理工大学教授，主要研究方向为通信系统物理层安全、无人机协同通信、毫米波通信、物联网等
田淑娟（1982− ），女，湖南攸县人，博士，湘潭大学教授，主要研究方向为通信系统安全、边缘计算、物联网、隐私保护等
邓清勇（1981− ），男，湖南武冈人，博士，广西师范大学特聘教授，主要研究方向为宽带无线通信、边缘计算、物联网、隐私保护、深度学习等
基金资助:
国家自然科学基金资助项目(62372065);国家自然科学基金资助项目(62172349);国家自然科学基金资助项目(62076214);湖南省自然科学基金项目(2023JJ30597);湖南省自然科学基金项目(2021JJ30737);湖南省教育厅基金资助项目(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(SYSKF2101)

Pilot spoofing detection algorithm for edge nodes based on heterogeneous pilot energy estimation

Shiguo WANG¹, Shujuan TIAN², Qingyong DENG³

¹ School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410076, China
² College of Computer, Xiangtan University, Xiangtan 411105, China
³ School of Computer, Guangxi Normal University, Guilin 541001, China

Revised:2023-11-14 Online:2023-11-01 Published:2023-11-01
Supported by:
The National Natural Science Foundation of China(62372065);The National Natural Science Foundation of China(62172349);The National Natural Science Foundation of China(62076214);The Natural Science Foundation of Hunan Province(2023JJ30597);The Natural Science Foundation of Hunan Province(2021JJ30737);The Research Foundation of Education Bureau of Hunan Province(21B0139);The Open Project of the State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences(SYSKF2101)

摘要/Abstract

摘要：

针对边端协同联邦学习中边缘服务器与设备终端频繁交互更新模型和梯度参数时，窃听者容易通过导频攻击干扰信道估计，从而达到降低模型更新效率和窃取模型参数的问题，基于异构导频能量估计提出一种导频攻击检测算法。首先，通过深入分析导频攻击对系统安全速率的影响，构建联邦学习导频攻击系统模型。进而，基于随机分割和加密方法提出一种信号平均能量差的导频攻击检测方法，能够准确地检测出潜在的导频攻击并进行污染信道的恢复。实验结果表明，与其他已有算法相比，所提算法适用于检测发射功率小、隐蔽性强的导频攻击，基于恢复的信道状态信息进行预编码可以大幅度提高边缘服务器的数据传输速率。

关键词: 导频攻击检测, 能量估计, 攻击对抗, 边缘计算

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 proposed to detect the pilot spoofing accurately and the contaminated channel could be recovered as well.Experimental results 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.

Key words: pilot spoofing detection, energy estimation, attack combating, edge computing

中图分类号:

TN92

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.

Shiguo WANG, Shujuan TIAN, Qingyong DENG. Pilot spoofing detection algorithm for edge nodes based on heterogeneous pilot energy estimation[J]. Journal on Communications, 2023, 44(11): 120-128.

图/表 6

图1

图2

图3

图4

图5

图6

参考文献 20

[1]	WANG J , CAO C M , WANG J P ,et al. Optimal task allocation and coding design for secure edge computing with heterogeneous edge devices[J]. IEEE Transactions on Cloud Computing, 2022,10(4): 2817-2833.
[2]	龙隆, 刘子辰, 陆在旺 ,等. 移动边缘网络下服务缓存与资源分配联合优化策略[J]. 通信学报, 2023,44(1): 64-74.
	LONG L , LIU Z C , LU Z W ,et al. Joint optimization strategy of service cache and resource allocation in mobile edge network[J]. Journal on Communications, 2023,44(1): 64-74.
[3]	MAO B M , LIU JJ , WU YY ,et al. Security and privacy on 6G network edge:a survey[J]. IEEE Communications Surveys＆Tutorials, 2023,25(2): 1095-1127.
[4]	余雪勇, 邱礼翔, 宋家宁 ,等. 无人机辅助边缘计算中安全通信与能效优化策略[J]. 通信学报, 2023,44(3): 45-54.
	YU X Y , QIU L X , SONG J N ,et al. Security communication and energy efficiency optimization strategy in UAV-aided edge computing[J]. Journal on Communications, 2023,44(3): 45-54.
[5]	CSISZAR I , KORNER J . Broadcast channels with confidential messages[J]. IEEE Transactions on Information Theory, 1978,24(3): 339-348.
[6]	TUGNAIT J K . Self-contamination for detection of pilot contamination attack in multiple antenna systems[J]. IEEE Wireless Communications Letters, 2015,4(5): 525-528.
[7]	ZHANG W L , LIN H , ZHANG R N . Detection of pilot contamination attack based on uncoordinated frequency shifts[J]. IEEE Transactions on Communications, 2018,66(6): 2658-2670.
[8]	XU W Y , YUAN C , XU S B ,et al. On pilot spoofing attack in massive MIMO systems:detection and countermeasure[J]. IEEE Transactions on Information Forensics and Security, 2021,16: 1396-1409.
[9]	LIU X M , LI B , CHEN H B ,et al. Detecting pilot spoofing attack in MISO systems with trusted user[J]. IEEE Communications Letters, 2019,23(2): 314-317.
[10]	WU Q Q , ZHANG R . Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming[J]. IEEE Transactions on Wireless Communications, 2019,18(11): 5394-5409.
[11]	ELHOUSHY S , IBRAHIM M , HAMOUDA W . Exploiting RIS for limiting information leakage to active eavesdropper in cell-free massive MIMO[J]. IEEE Wireless Communications Letters, 2022,11(3): 443-447.
[12]	AKBAR N , YAN S H , KHATTAK A M ,et al. On the pilot contamination attack in multi-cell multiuser massive MIMO networks[J]. IEEE Transactions on Communications, 2020,68(4): 2264-2276.
[13]	XIONG Q , LIANG Y C , LI K H ,et al. An energy-ratio-based approach for detecting pilot spoofing attack in multiple-antenna systems[J]. IEEE Transactions on Information Forensics and Security, 2015,10(5): 932-940.
[14]	XU S B , XU W Y , PAN C H ,et al. Detection of jamming attack in non-coherent massive SIMO systems[J]. IEEE Transactions on Information Forensics and Security, 2019,14(9): 2387-2399.
[15]	GAO N , QIN Z J , JING X J . Pilot contamination attack detection and defense strategy in wireless communications[J]. IEEE Signal Processing Letters, 2019,26(6): 938-942.
[16]	AHMED A , ZIA M , HAQ I U ,et al. Detection of pilot contamination attack for frequency selective channels[J]. IEEE Access, 2020,8: 123966-123978.
[17]	WANG N , LI W W , ALIPOUR-FANID A , ,et al. Pilot contamination attack detection for 5G mmWave grant-free IoT networks[J]. IEEE Transactions on Information Forensics and Security, 2021,16: 658-670.
[18]	XIONG Q , LIANG Y C , LI K H ,et al. Secure transmission against pilot spoofing attack:a two-way training-based scheme[J]. IEEE Transactions on Information Forensics and Security, 2016,11(5): 1017-1026.
[19]	TYLAVSKY D J , SOHIE G R L . Generalization of the matrix inversion lemma[J]. Proceedings of the IEEE, 1986,74(7): 1050-1052.
[20]	LIANG Y C , ZENG Y H , PEH E C Y ,et al. Sensing-throughput tradeoff for cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2008,7(4): 1326-1337.

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

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 6

参考文献 20

相关文章 15

Metrics

推荐阅读 0

[1]	唐冬, 黄栩蔚, 罗至威, 赵赛, 黄高飞. 无线供能智能反射面辅助移动边缘计算系统设计与优化[J]. 通信学报, 2023, 44(9): 79-92.
[2]	期治博, 杜磊, 霍如, 杨帆, 黄韬. 基于边缘计算的多摄像头视频协同分析方法[J]. 通信学报, 2023, 44(8): 14-26.
[3]	谢人超, 文雯, 唐琴琴, 刘云龙, 谢高畅, 黄韬. 轨道交通移动边缘计算网络安全综述[J]. 通信学报, 2023, 44(4): 201-215.
[4]	苏新, 张桂福, 行鸿彦, Zenghui Wang. 基于平衡生成对抗网络的海洋气象传感网入侵检测研究[J]. 通信学报, 2023, 44(4): 124-136.
[5]	鲁蔚锋, 李宁, 徐佳, 徐力杰, 徐建. 多接入边缘计算中相关性任务的联合调度算法[J]. 通信学报, 2023, 44(4): 87-98.
[6]	余雪勇, 邱礼翔, 宋家宁, 朱洪波. 无人机辅助边缘计算中安全通信与能效优化策略[J]. 通信学报, 2023, 44(3): 45-54.
[7]	赵庶旭, 韦萍, 王小龙. 多任务并发边缘计算环境中最优联盟结构生成策略[J]. 通信学报, 2023, 44(2): 172-184.
[8]	范伟, 彭诚, 朱大立, 王雨晴. 移动边缘计算网络下基于静态贝叶斯博弈的入侵响应策略研究[J]. 通信学报, 2023, 44(2): 70-81.
[9]	马千飘, 贾庆民, 刘建春, 徐宏力, 谢人超, 黄韬. 异构边缘计算环境下异步联邦学习的节点分组与分时调度策略[J]. 通信学报, 2023, 44(11): 79-93.
[10]	宋良均, 孙罡, 孙健, 虞红芳. 多接入边缘计算网络的资源共享与激励机制[J]. 通信学报, 2023, 44(11): 67-78.
[11]	龙隆, 刘子辰, 陆在旺, 张玉成, 李蕾. 移动边缘网络下服务缓存与资源分配联合优化策略[J]. 通信学报, 2023, 44(1): 64-74.
[12]	张宇, 程旻. NDN中边缘计算与缓存的联合优化[J]. 通信学报, 2022, 43(8): 164-175.
[13]	王子园, 杜瑞忠. 边缘环境下基于无证书公钥密码的数据完整性审计方案[J]. 通信学报, 2022, 43(7): 62-72.
[14]	王继锋, 王国峰. 边缘计算模式下密文搜索与共享技术研究[J]. 通信学报, 2022, 43(4): 227-238.
[15]	杨力, 潘成胜, 孔相广, 黄琦龙, 戚耀文. 5G融合卫星网络研究综述[J]. 通信学报, 2022, 43(4): 202-215.