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  • 闫兆腾,李志,李红,王进法,朱红松,孙利民.网络空间物联网设备属性识别技术研究综述[J].信息安全学报,已采用    [点击复制]
  • YAN Zhaoteng,LI Zhi,LI Hong,WANG Jinfa,ZHU Hongsong,SUN Limin.A Survey on Attribute Identification Techniques of the IoT Devices in the Cyberspace[J].Journal of Cyber Security,Accept   [点击复制]
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网络空间物联网设备属性识别技术研究综述
闫兆腾1, 李志1, 李红1, 王进法2, 朱红松1, 孙利民1
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(1.中国科学院大学 网络空间安全学院 北京 中国;2.中国科学院信息工程研究所 物联网信息安全技术北京市重点实验室 北京 中国)
摘要:
物联网(Internet of Things,IoT)设备种类繁多,包括安防监控、打印机、工业控制、智能穿戴、智慧楼宇等。这些设备能够通过ZigBee、MQTT、BLE等形式多样的物联网协议,将各类物理层、逻辑层和用户层的资源互联互通。因此,物联网设备是网络空间中重要的实体资源。为了方便被用户远程访问,海量物联网设备被直接联入了网络空间。与传统的服务器、个人主机等IT设备相比,物联网设备计算和存储资源有限,导致无法被实施同样的安全防护措施。然而,这些缺乏充足安全防护的物联网设备,被曝光存在大量的安全漏洞。针对物联网设备的攻击事件与日俱增,给网络空间安全带来严峻挑战。因此,物联网设备成为网络空间测绘的主要目标。其中,对物联网设备的网络、产品、系统、安全等属性识别,是网络空间测绘技术体系架构中的核心,从而成为近几年网络空间安全领域的研究热点。首先,本文研究分析网络空间中物联网设备属性识别技术架构,阐述了属性识别在技术架构中的核心作用。然后,本文根据识别属性的类型和识别技术的特点,将物联网设备属性识别技术的发展划分为三个阶段。最后,本文从识别技术中特征提取、指纹识别和分类识别三个关键方面,综合阐述了物联网设备属性识别技术的研究进展,并讨论和展望了物联网设备识别未来可能的研究方向。本文希望能为本领域研究者提供借鉴和参考。
关键词:  物联网设备  特征提取  指纹识别  分类识别  属性识别
DOI:
投稿时间:2022-04-02修订日期:2022-06-06
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
A Survey on Attribute Identification Techniques of the IoT Devices in the Cyberspace
YAN Zhaoteng1, LI Zhi1, LI Hong1, WANG Jinfa2, ZHU Hongsong1, SUN Limin1
(1.School of Cyber Security,University of Chinese Academy of Sciences;2.Beijing Key Laboratory of IoT Information Security Technology, Institute of Information Engineering, Chinese Academy of Sciences)
Abstract:
The Internet of Things (IoT) has a wide variety of devices, including security monitoring, printers, industrial control, smart wear, smart buildings and so on. These devices can interconnect various physical, logical and user layer resources through various forms of IoT protocols such as ZigBee, MQTT and BLE. Therefore, IoT devices are important physical resources in cyberspace. To facilitate remote access by users, a huge number of IoT devices are directly connected into the cyber-space. Compared to traditional IT devices such as servers and personal hosts, IoT devices have limited computing and storage resources, which prevent them from being implemented with the same security measures. However, these IoT de-vices, which lack adequate security protection, have been exposed to a large number of security vulnerabilities. Attacks against IoT devices are increasing day by day, posing a serious challenge to cyberspace security. As a result, IoT devices have become the main target of cyberspace mapping. Among them, the identification of network, product, system, secu-rity and other attributes of IoT devices is the core of the technical architecture of cyberspace mapping, thus becoming a research hotspot in the field of cyberspace security in recent years. First, this paper studies and analyzes the technical ar-chitecture of attribute identification of IoT devices in cyberspace, and explains the core role of attribute identification in the technical architecture. Then, this paper divides the development of IoT device attribute recognition technology into three stages according to the types of recognition attributes and the characteristics of recognition technology. Finally, this paper synthesizes the research progress of IoT device attribute recognition technology from three key aspects of recogni-tion technology: feature extraction, fingerprint identification and classification identification, and discusses and outlooks possible future research directions of IoT device recognition. This paper hopes to provide reference and reference for re-searchers in this field.
Key words:  Internet of Things devices  feature extraction  fingerprinting  classification  attribute identification