数据与计算发展前沿 ›› 2019, Vol. 1 ›› Issue (2): 98-109.doi: 10.11871/jfdc.issn.2096-742X.2019.02.009

所属专题: “人工智能”专刊

• 人工智能专刊 • 上一篇    下一篇

智能语音系统安全分析

张笑宇1,2,沈超1,2,*(),陈宇飞1,2,吴星辉1,2,刘畅1,2   

  1. 1. 西安交通大学,智能网络与网络安全教育部重点实验室,陕西 西安 710049
    2. 西安交通大学,电子与信息工程学部,陕西 西安 710049
  • 收稿日期:2019-09-17 出版日期:2019-12-20 发布日期:2020-01-15
  • 通讯作者: 沈超 E-mail:chaoshen@mail.xjtu.edu.cn
  • 作者简介:张笑宇,1999年生,西安交通大学电子与信息工程学部本科生,主要研究方向为智能语音系统安全。
    本文主要承担工作为文献的整理、查阅及文章主要内容的撰写。
    Zhang Xiaoyu, born in 1999, is currently an undergraduate student of Faculty of Electronic and Information Engineering, Xi’an Jiaotong University. His main research interests include security of intelligent acoustic systems.
    His main contributions to this paper include collecting and summarizing references, and writing the main part of the paper.
    E-mail: zxy0927@stu.xjtu.edu.cn|沈超,1985年生,西安交通大学电子与信息工程学部教授,博士生导师。主要研究方向为信息物理融合系统优化与安全,网络与系统安全,以及人工智能安全。
    本文主要承担工作为文章的撰写与修改。
    Shen Chao, born in 1985, PhD and PhD supervisor, is a professor of Faculty of Electronic and Information Engineering, Xi’an Jiaotong University. His main research interests include cyber-physical system optimization and security, network and system security, and artificial intelligence security. His main contributions to this paper include paper writing and revising.
    Chao Shen is the corresponding author of this paper.|陈宇飞,1994年生,西安交通大学电子信息与工程学部博士研究生。主要研究方向为人工智能安全,人机交互分析。
    本文主要承担工作为文章的修改。
    Chen Yufei, born in 1994, is a PhD student of Faculty of Electronic and Information Engineering. His main research interests include security of intelligent systems and behavioral analysis.
    His main contributions to this paper is paper revising.
    E-mail:yfchen@sei.xjtu.edu.cn|吴星辉,1998年生,西安交通大学电子与信息工程学部本科生。主要研究方向为智能语音系统安全。
    本文主要承担工作为文章的修改。
    Wu Xinghui, born in 1998, is an undergraduate student of Faculty of Electronic and Information Engineering, Xi’an Jiaotong University. His main research interests include security of intelligent acoustic systems.
    His main contributions to this paper include paper revising.
    E-mail:wuxh994@stu.xjtu.edu.cn|刘畅,1995年生,西安交通大学电子信息与工程学部研究生。主要研究方向为人工智能安全,人机交互分析。
    本文主要承担工作为文章的修改。
    Liu Chang, born in 1995, is a PhD student Faculty of Electronic and Information Engineering. His main research interests include security of intelligent systems and behavioral analysis.
    His main contributions to this paper include paper revising.
    E-mail:kakeru@stu.xjtu.edu.cn
  • 基金资助:
    国家自然科学基金项目(61822309);国家自然科学基金项目(61773310);国家自然科学基金项目(U1736205)

An Analysis of Intelligent Acoustic System Security

Zhang Xiaoyu1,2,Shen Chao1,2,*(),Chen Yufei1,2,Wu Xinghui1,2,Liu Chang1,2   

  1. 1. Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an,Shanxi 710049, China;
    2. Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China;
  • Received:2019-09-17 Online:2019-12-20 Published:2020-01-15
  • Contact: Shen Chao E-mail:chaoshen@mail.xjtu.edu.cn

摘要:

【目的】智能语音系统的发展推动着人类生活的进步,人机之间实现便捷沟通的同时也暴露出了各种安全问题。本文对智能语音系统安全的研究现状进行全面的介绍,为中国相关研究工作开展提供参考。【文献范围】参考文献选自人工智能系统安全领域的国内外期刊和会议,总计50余篇 。【方法】通过对智能语音系统安全相关研究进行介绍,从智能语音系统的各个环节入手,分析了该领域国内外研究现状以及未来的研究趋势。【结果】针对智能语音系统安全的研究已经取得了相当的成果,但整体处在初级阶段,仍有方向等待探索,仍有难题等待解决。【局限】语音系统安全近年在飞速发展,受限于获取资料的时效性,文中部分研究可能已有新的进展。【结论】关于语音系统安全的研究具备高度的实用价值,但现有的研究在研究角度、实用性等方面存在局限,仍存在大量的空白区域等待学者们进一步探索、研究。

关键词: 智能语音系统, 信息安全, 隐私保护

Abstract:

[Objective] The rapid development of intelligent acoustic systems has remarkably promoted the progress of human life. While the convenient communication is being build between human and machine, it has also exposed various security issues, which can greatly threaten users’ privacy, property security, and even personal safety. This paper makes a comprehensive introduction to the research status of intelligent acoustic system security and provides references for the related research work in China. [Coverage] The references are selected from domestic and international journals or conferences in the field of artificial intelligence system security, with a total of more than 50 articles. [Methods] We firstly establish the security model of the intelligent acoustic system and analyze the purposes and abilities of attackers. Then, we systematically summarize the existing acoustic system security studies into five topics, which are input components, pre-processing components, machine learning models, output components and actual implementation frameworks. Finally, we discuss future research trends. Particularly, we point out potential research directions of pre-processing and output components, which may need more attention. [Results] The researches about intelligent acoustic system security have achieved considerable results, but is still at the initial stage in all, which means there are more directions to be explored, and problems to be solved. [Limitations] Acoustic system security has developed rapidly in recent years. This article is limited by the timeliness of access to data, some included researches may have new progress. [Conclusions] The researches on speech system security have high practical value. However, the existing researches have limitations in research focus points and practicality. There are still a lot of blank areas awaiting for scholars to further explore and study.

Key words: intelligent acoustic system, information security, privacy protection