基于指纹的5G通信说话人身份追踪方案

doi:10.3969/j.issn.1671-1122.2021.03.010

信息网络安全 ›› 2021, Vol. 21 ›› Issue (3): 79-86.doi: 10.3969/j.issn.1671-1122.2021.03.010

基于指纹的5G通信说话人身份追踪方案

尚雯, 王宏霞()

四川大学网络空间安全学院,成都 610065

收稿日期:2020-11-04 出版日期:2021-03-10 发布日期:2021-03-16
通讯作者: 王宏霞 E-mail:hxwang@scu.edu.cn
作者简介:尚雯（1996—）,女,重庆,硕士研究生,主要研究方向为信息处理、信息安全|王宏霞（1973—）,女,河北,教授,博士,主要研究方向为多媒体信息安全、信息隐藏与数字水印、数字取证、智能信息处理
基金资助:
国家自然科学基金(61972269)

Speaker Identity Tracing Scheme in 5G Communication Based on Fingerprint

SHANG Wen, WANG Hongxia()

College of Cybersecurity, Sichuan University, Chengdu 610065, China

Received:2020-11-04 Online:2021-03-10 Published:2021-03-16
Contact: WANG Hongxia E-mail:hxwang@scu.edu.cn

摘要/Abstract

摘要：

随着5G通信技术的广泛普及和应用,5G通信系统的安全受到广泛关注。针对5G电话语音通信中模仿、假冒或否认说话人身份进行欺骗而难以追踪说话人身份的问题,文章提出一种面向5G远程通信的电话语音说话人身份追踪方案。在语音接入前通过智能手机获取说话人的生物指纹作为身份信息,在语音通话中,采用数字水印技术将代表说话人身份的生物指纹嵌入语音信号,从而建立说话人身份信息与语音之间的关联性。一旦语音记录的说话人身份受到质疑,通过提取语音数据中的生物指纹实现远程通信中说话人身份的追踪。文章研究了在高斯白噪声信道下,嵌有说话人生物指纹信息的语音信号经5G广义频分复用模式调制传输后的指纹提取性能。仿真结果表明,在实际应用环境中,文章方案在5G广义频分复用调制模式下提取指纹的性能优于4G系统,对防范下一代移动通信中电话诈骗具有潜在的应用价值。

关键词: 5G安全, GFDM, 身份追踪, 数字水印

Abstract:

With the widespread popularization and application of 5G communication technology, concerns about security issues of 5G communication system are rising. To solve the difficulty of identity tracing caused by counterfeiting, forging or denying of speaker identity, in this article, a speaker identity tracing scheme for 5G remote communication is proposed. The biometric fingerprint information of speaker has been acquired from smartphone before calling. During the calling, the biometric fingerprint information which represents speaker identity is embedded into the voice signal using digital watermarking technology, thus the relevance between the speaker identity and the speech is established. Once the speaker identity is queried, it can be traced by extracting the biometric fingerprint information from speech signal. The performance of extracting fingerprint from speech which contains fingerprint information and is transferred through wireless channel after modulated by Generalized Frequency Division Multiplexing is presented. The simulation results show that, the fingerprint extraction performance of the scheme in 5G modulated by Generalized Frequency Division Multiplexing outperforms than that in 4G communication system, and it has potential application worth for preventing telecommunication fraud in the next generation of mobile communication.

Key words: 5G security, GFDM, identity tracing, digital watermarking

中图分类号:

TP309

尚雯, 王宏霞. 基于指纹的5G通信说话人身份追踪方案[J]. 信息网络安全, 2021, 21(3): 79-86.

SHANG Wen, WANG Hongxia. Speaker Identity Tracing Scheme in 5G Communication Based on Fingerprint[J]. Netinfo Security, 2021, 21(3): 79-86.

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参数	参数变量	设置值
子载波数量	K	2048
时域段数量/子符号数量	M	8
数据块数量	B	19
脉冲整形波形	g	RC
滚降因子	$\alpha $	0.1
调制系数	$\mu $	4
循环前缀长度	Ncp	10

基于指纹的5G通信说话人身份追踪方案

Speaker Identity Tracing Scheme in 5G Communication Based on Fingerprint

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