面向IoT场景的动态超表面天线密钥生成方法

doi:10.11959/j.issn.1000-436x.2022227

通信学报 ›› 2022, Vol. 43 ›› Issue (12): 45-53.doi: 10.11959/j.issn.1000-436x.2022227

• 专题：信息超材料在移动通信中的应用 • 上一篇下一篇

面向IoT场景的动态超表面天线密钥生成方法

郝一诺, 钟州, 孙小丽, 金梁

信息工程大学信息技术研究所，河南郑州 450003

修回日期:2022-11-14 出版日期:2022-12-25 发布日期:2022-12-01
作者简介:郝一诺（1997- ），女，江苏徐州人，信息工程大学博士生，主要研究方向为无线物理层安全
钟州（1982- ），男，吉林公主岭人，博士，信息工程大学副教授，主要研究方向为移动通信技术、无线物理层安全
孙小丽（1992- ），女，河南南阳人，博士，信息工程大学讲师，主要研究方向为毫米波、无线物理层安全
金梁（1969- ），男，北京人，博士，信息工程大学教授、博士生导师，主要研究方向为移动通信技术、阵列信号处理、无线内生安全
基金资助:
国家自然科学基金资助项目(U22A2001);国家自然科学基金资助项目(61871404)

DMA-based key generation method for IoT scenario

Yinuo HAO, Zhou ZHONG, Xiaoli SUN, Liang JIN

Institute of Information Technology, Information Engineering University, Zhengzhou 450003, China

Revised:2022-11-14 Online:2022-12-25 Published:2022-12-01
Supported by:
The National Natural Science Foundation of China(U22A2001);The National Natural Science Foundation of China(61871404)

摘要/Abstract

摘要：

针对物联网（IoT）场景中信道密钥更新缓慢、生成速率低、节点资源受限等问题，利用动态超表面天线（DMA）的捷变性和可重构特性提高接收信号的时变性和随机性，设计了基于DMA的物理层密钥生成方法。首先，发送端采用DMA对信号进行随机捷变加权并发送给接收端，在不影响信号透明接收的前提下增强了信号的随机性；然后，收发双方从接收信号中提取密钥。所提方法将DMA系数的捷变性和随机性、信号源的随机性以及自然信道的随机性三者叠加增强，构造复合信道提高密钥源随机性，并将信道估计开销由终端转移至基站，有效降低了通信系统的开销和时延，适用于资源非对称、节点轻量级的IoT场景。仿真结果表明，所提方法可以有效提高准静态信道下的密钥生成速率，并且所生成的物理层密钥通过了NIST指标测试。

关键词: 物理层密钥生成, 无线通信, 动态超表面天线, 密钥生成速率

Abstract:

Aiming at the problems of slow update frequency of channel key, low generation rate and limited node resources in the IoT scenario, a DMA-based physical layer key generation method was proposed, by using the agility and reconfigurability of DMA to improve the time variability and randomness of received signal.Firstly, DMA was used by the transmitter to randomly weight the signal and send it to the receiver, which could enhance the randomness of signals on the premise of ensuring the transparent reception of the signal.Then, the key from the received signal was extracted by the sender and receiver.By combining the rapid changeability and randomness of DMA, the randomness of signal source and the randomness of natural channel, a composite channel was constructed to improve the randomness of the key source.In addition, the channel estimation was transfered overhead from the terminal to the base station, which effectively reduced the overhead and delay of the communication system, and was suitable for IoT scenarios with asymmetric resources and lightweight equipment.Simulation results show that the proposed method can effectively improve the key generation rate in quasi-static scenarios, and the generated physical layer key has passed the NIST test.

Key words: physical layer key generation, wireless communication, dynamic metasurface antenna, key generation rate

中图分类号:

TN918.82

郝一诺, 钟州, 孙小丽, 金梁. 面向IoT场景的动态超表面天线密钥生成方法[J]. 通信学报, 2022, 43(12): 45-53.

Yinuo HAO, Zhou ZHONG, Xiaoli SUN, Liang JIN. DMA-based key generation method for IoT scenario[J]. Journal on Communications, 2022, 43(12): 45-53.

图/表 6

图1

图2

表1

图3

图4

表2

参考文献 25

[1]	杨毅宇, 周威, 赵尚儒 ,等. 物联网安全研究综述：威胁、检测与防御[J]. 通信学报, 2021,42(8): 188-205.
	YANG Y Y , ZHOU W , ZHAO S R ,et al. Survey of IoT security research:threats,detection and defense[J]. Journal on Communications, 2021,42(8): 188-205.
[2]	ALSHAMASEEN T , ALTHUNIBAT S , QARAQE M . Secure key distribution for IoT networks based on physical layer security[C]// Proceedings of 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks. Piscataway:IEEE Press, 2021: 1-6.
[3]	李古月, 俞佳宝, 胡爱群 . 基于设备与信道特征的物理层安全方法[J]. 密码学报, 2020,7(2): 224-248.
	LI G Y , YU J B , HU A Q . Research on physical-layer security based on device and channel characteristics[J]. Journal of Crypto logic Research, 2020,7(2): 224-248.
[4]	黄开枝, 金梁, 陈亚军 ,等. 无线物理层密钥生成技术发展及新的挑战[J]. 电子与信息学报, 2020,42(10): 2330-2341.
	HUANG K Z , JIN L , CHEN Y J ,et al. Development of wireless physical layer key generation technology and new challenges[J]. Journal of Electronics ＆ Information Technology, 2020,42(10): 2330-2341.
[5]	ALDAGHRI N , MAHDAVIFAR H . Physical layer secret key generation in static environments[J]. IEEE Transactions on Information Forensics and Security, 2020,15: 2692-2705.
[6]	楼洋明, 金梁, 钟州 ,等. 基于MIMO接收信号空间的密钥生成方案[J]. 中国科学:信息科学, 2017,47(3): 362-373.
	LOU Y M , JIN L , ZHONG Z ,et al. Secret key generation scheme based on MIMO received signal spaces[J]. Scientia Sinica (Informationis), 2017,47(3): 362-373.
[7]	ALDAGHRI N , MAHDAVIFAR H . Physical layer secret key generation in static environments[J]. IEEE Transactions on Information Forensics and Security, 2020,15: 2692-2705.
[8]	JIN L , ZHANG S J , LOU Y M ,et al. Secret key generation with cross multiplication of two-way random signals[J]. IEEE Access, 2019,7: 113065-113080.
[9]	SHLEZINGER N , ALEXANDROPOULOS G C , IMANI M F ,et al. Dynamic metasurface antennas for 6G extreme massive MIMO communications[J]. IEEE Wireless Communications, 2021,28(2): 106-113.
[10]	WU Q Q , ZHANG S W , ZHENG B X ,et al. Intelligent reflecting surface-aided wireless communications:a tutorial[J]. IEEE Transactions on Communications, 2021,69(5): 3313-3351.
[11]	ZHANG L , CHEN X Q , LIU S ,et al. Space-time-coding digital metasurfaces[J]. Nature Communications, 2018,9:4334.
[12]	JI Z J , YEOH P L , ZHANG D Y ,et al. Secret key generation for intelligent reflecting surface assisted wireless communication networks[J]. IEEE Transactions on Vehicular Technology, 2021,70(1): 1030-1034.
[13]	LU X J , LEI J , SHI Y X ,et al. Intelligent reflecting surface assisted secret key generation[J]. IEEE Signal Processing Letters, 2021,28: 1036-1040.
[14]	HU X Y , JIN L , HUANG K Z ,et al. Secret key generation assisted by intelligent reflecting surface with discrete phase shift in static environment[J]. IEEE Wireless Communications Letters, 2021(10): 1867-1870.
[15]	STAAT P , ELDERS-BOLL H , HEINRICHS M . Intelligent reflecting surface-assisted wireless key generation for low-entropy environments[C]// Proceedings of 2021 IEEE 32nd Annual International Symposium on Personal,Indoor and Mobile Radio Communications (PIMRC). Piscataway:IEEE Press, 2021: 745-751.
[16]	LIANG Y C , CHEN J , LONG R Z ,et al. Reconfigurable intelligent surfaces for smart wireless environments:channel estimation,system design and applications in 6G networks[J]. Science China Information Sciences, 2021,64(10): 1-21.
[17]	ZHANG H Y , SHLEZINGER N , GUIDI F ,et al. Beam focusing for multi-user MIMO communications with dynamic meta surface antennas[C]// Proceedings of 2021 IEEE International Conference on Acoustics,Speech and Signal Processing. Piscataway:IEEE Press, 2021: 4780-4784.
[18]	WANG H Q , SHLEZINGER N , ELDAR Y C ,et al. Dynamic metasurface antennas for MIMO-OFDM receivers with bit-limited ADCs[J]. IEEE Transactions on Communications, 2021,69(4): 2643-2659.
[19]	CHEN S Y , SIMA B Y , XI F ,et al. Super-resolution DOA estimation using dynamic metasurface antenna[C]// Proceedings of 2020 14th European Conference on Antennas and Propagation (EuCAP). Piscataway:IEEE Press, 2020: 1-4.
[20]	WILLIAMS R J , RAMíREZ-ESPINOSA P , YUAN J D ,et al. Electromagnetic based communication model for dynamic metasurface antennas[J]. IEEE Transactions on Wireless Communications, 2022,21(10): 8616-8630.
[21]	JIANG H Y , YOU L , WANG J ,et al. Hybrid RIS and DMA assisted multiuser MIMO uplink transmission with electromagnetic exposure constraints[J]. IEEE Journal of Selected Topics in Signal Processing, 2022,16(5): 1055-1069.
[22]	JIN L , LOU Y M , XU X M ,et al. Separating multi-stream signals based on space-time isomerism[C]// Proceedings of 2020 International Conference on Wireless Communications and Signal Processing (WCSP). Piscataway:IEEE Press, 2020: 418-423.
[23]	SHLEZINGER N , DICKER O , ELDAR Y C ,et al. Dynamic metasurface antennas for uplink massive MIMO systems[J]. IEEE Transactions on Communications, 2019,67(10): 6829-6843.
[24]	XIAO S F , GUO Y F , HUANG K Z ,et al. Cooperative group secret key generation based on secure network coding[J]. IEEE Communications Letters, 2018,22(7): 1466-1469.
[25]	楼洋明, 钟州, 金梁 ,等. 基于接收信号波形的密钥生成方案[J]. 信息工程大学学报, 2017,18(2): 166-171.
	LOU Y M , ZHONG Z , JIN L ,et al. Secret key generation based on received signal waveforms[J]. Journal of Information Engineering University, 2017,18(2): 166-171.

参数名称	参数设置
相干时间/ms	500
导频长度/bit	128
Alice天线	DMA（N=10× 24）
Bob天线	阵列天线（2根）
Eve天线	阵列天线（2根）

测试项	通过率	假设检验值P
Frequency	1.000 00	0.913 343
Block Frequency	0.983 52	0.719 747
Cumulative Sums(Fwd)	1.000 00	0.425 421
Cumulative Sums(Rev)	0.992 78	0.595 549
Runs	0.978 31	0.284 567
Longest Run	0.986 51	0.745 139
FFT	0.993 52	0.213 329
Serial	1.000 00	0.612 345，0.414 52

面向IoT场景的动态超表面天线密钥生成方法

DMA-based key generation method for IoT scenario

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 25

相关文章 15

Metrics

推荐阅读 0

[1]	张超, 王元赫. 论涡旋电磁波轨道角动量传输新维度[J]. 通信学报, 2022, 43(6): 211-222.
[2]	卢汉成, 王亚正, 赵丹, 罗涛, 吴俊. 智能反射表面辅助的无线通信系统的物理层安全综述[J]. 通信学报, 2022, 43(2): 171-184.
[3]	唐奎, 胡琪, 赵俊明, 陈克, 冯一军. 基于RIS的室内无线通信信号增强系统[J]. 通信学报, 2022, 43(12): 24-31.
[4]	刘海霞, 易浩, 马向进, 乐舒瑶, 孔旭东, 马培, 曾宇鑫, 李龙. 基于无源可重构智能超表面的室内无线信号覆盖增强[J]. 通信学报, 2022, 43(12): 32-44.
[5]	黄源, 何怡刚, 吴裕庭, 程彤彤, 隋永波, 宁暑光. 基于深度学习的压缩感知FDD大规模MIMO系统稀疏信道估计算法[J]. 通信学报, 2021, 42(8): 61-69.
[6]	张士兵,韩刘可,张美娟. 基于能量收集的全双工认知中继网络功率分配算法[J]. 通信学报, 2020, 41(9): 139-146.
[7]	梁应敞,谭俊杰,Dusit Niyato. 智能无线通信技术研究概况[J]. 通信学报, 2020, 41(7): 1-17.
[8]	林钰达,金梁,周游,楼洋明. 噪声不确定时基于波束成形的隐蔽无线通信性能分析[J]. 通信学报, 2020, 41(7): 49-58.
[9]	郑凤,陈艺戬,冀思伟,段高明,郁光辉. 轨道角动量通信技术的研究[J]. 通信学报, 2020, 41(5): 150-158.
[10]	张达,王济农,冀虎,纪浩,赵云峰. 矿山微功耗安全监测物联网系统的研究与应用[J]. 通信学报, 2020, 41(2): 44-57.
[11]	桂冠,王禹,黄浩. 基于深度学习的物理层无线通信技术：机遇与挑战[J]. 通信学报, 2019, 40(2): 19-23.
[12]	房卫东,张武雄,胡明明,陈伟,杨旸. 基于改进LDPC码的短距离跳频无线通信系统[J]. 通信学报, 2017, 38(12): 34-47.
[13]	王俊,赵宏志,马万治,唐友喜,卿朝进. 同时同频全双工宽带射频自干扰抵消性能分析[J]. 通信学报, 2016, 37(9): 121-130.
[14]	胡莹,冀保峰,黄永明,俞菲,杨绿溪. 大规模MIMO OFDMA下行系统能效资源分配算法[J]. 通信学报, 2015, 36(7): 1-49.
[15]	顾浙骐,张志培. 基于协作多点传输的非线性顽健预编码[J]. 通信学报, 2015, 36(10): 140-148.