User data management and control in internet of behaviors： a review

doi:10.11772/j.issn.1001-9081.2024050599

Journal of Computer Applications ›› 2025, Vol. 45 ›› Issue (5): 1535-1547.DOI: 10.11772/j.issn.1001-9081.2024050599

• Cyber security • Previous Articles

User data management and control in internet of behaviors： a review

Yi HE¹^,², Yinan XIAO², Yunkai WEI¹^,²(), Supeng LENG²

^1.Yangtze Delta Region Institute （Quzhou），University of Electronic Science and Technology of China，Quzhou Zhejiang 324003，China
^2.School of Information and Communication Engineering，University of Electronic Science and Technology of China，Chengdu Sichuan 611731 China

Received:2024-05-13 Revised:2024-07-22 Accepted:2024-07-31 Online:2024-08-26 Published:2025-05-10
Contact: Yunkai WEI
About author:HE Yi， born in 2001， M. S. candidate. Her research interests include internet of behaviors， wireless communications and network， internet of things.
XIAO Yinan， born in 2002， M. S. candidate. His research interests include internet of behaviors， UAV network， internet of things.
WEI Yunkai， born in 1979， Ph. D.， associate professor. His research interests include wireless communications and network， blockchain， machine learning， internet of things， artificial intelligence.
LENG Supeng， born in 1973， Ph. D.， professor. His research interests include internet of things， internet of vehicles， new generation wireless broadband network， wireless Ad Hoc network， intelligent traffic.
Supported by:
Innovation Ability Construction Project for Sichuan Provincial Engineering Research Center of Communication Technology for Intelligent IoT(2303-510109-04-03-318020);Municipal Government of Quzhou(2023D003)

行为互联网用户数据管控研究现状综述

何艺¹^,², 肖亦南², 韦云凯¹^,²(), 冷甦鹏²

^1.电子科技大学长三角研究院（衢州），浙江衢州 324003
^2.电子科技大学信息与通信工程学院，成都 611731

通讯作者: 韦云凯
作者简介:何艺（2001—），女，四川内江人，硕士研究生，主要研究方向：行为互联网、无线通信与网络、物联网
肖亦南（2002—），男，浙江温州人，硕士研究生，主要研究方向：行为互联网、无人机网络、物联网
韦云凯（1979—），男，山东临沂人，副教授，博士，主要研究方向：无线通信与网络、区块链、机器学习、物联网、人工智能
冷甦鹏（1973—），男，四川攀枝花人，教授，博士生导师，博士，主要研究方向：物联网、车联网、新一代宽带无线网络、无线自组织网、智能交通。
基金资助:
四川省智慧物联通信技术工程研究中心创新能力建设项目(2303-510109-04-03-318020);衢州市财政资助科研项目(2023D003)

Abstract

Abstract:

In recent years， the rapid development of Internet of Things （IoT） has spurred the emergence of the Internet of Behavior （IoB）， which leverages IoT-derived data and information to achieve higher levels of knowledge and wisdom， rapidly evolving into a promising technology in various application potential. IoB involves extensive collection， processing， and utilization of user behavioral data， thereby exposing user data security and privacy to significant risks. Therefore， it is vital to protect the IoB user data with effective data management and control. After introducing the fundamental concepts and characteristics of IoB， its development trends and the security and privacy risks associated with user data were analyzed. Furthermore， the current situation of management and control of behavioral data was elaborated， the main problems and challenges existed in IoB were discussed， and the potential research directions to achieve user data management and control in IoB were proposed.

Key words: Internet of Behaviors (IoB), data management and control, security and privacy, data organization, behavioral data analysis

摘要：

近年来，物联网（IoT）飞速发展，基于IoT的数据和信息发展起来的行为互联网（IoB）也因具备更高知识与智慧，迅速成为拥有巨大应用潜力的新兴技术。IoB中涉及大量用户行为数据的收集、处理和使用，因此用户数据的安全与隐私时刻面临着极大的威胁，对IoB用户数据进行有效管控也显得尤为重要。在介绍IoB的基本概念和特点后，分析了IoB的发展态势以及用户数据面临的安全与隐私风险，阐述了现有行为数据的组织管控现状，探讨了IoB中现存的主要问题与挑战，并对实现IoB用户数据管控的潜在研究方向进行了展望。

关键词: 行为互联网, 数据管控, 安全与隐私, 数据组织, 行为数据分析

CLC Number:

TP393.4

Yi HE, Yinan XIAO, Yunkai WEI, Supeng LENG. User data management and control in internet of behaviors： a review[J]. Journal of Computer Applications, 2025, 45(5): 1535-1547.

何艺, 肖亦南, 韦云凯, 冷甦鹏. 行为互联网用户数据管控研究现状综述[J]. 《计算机应用》唯一官方网站, 2025, 45(5): 1535-1547.

Figures/Tables 3

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数据组织方式	数据结构	主要特点	存储方式
结构化数据组织	有严格定义和预定义模式的结构化数据	结构规范，能高效处理批量结构化数据	如MySQL、Oracle等
半结构化数据组织	有一定结构化特征的非结构化数据	处理特定结构的数据有优势	JSON、XML等
非结构化数据组织	无预定数据模型或结构的数据	灵活性高，可扩展性强	如NoSQL等

数据组织方式	数据结构	主要特点	存储方式
结构化数据组织	有严格定义和预定义模式的结构化数据	结构规范，能高效处理批量结构化数据	如MySQL、Oracle等
半结构化数据组织	有一定结构化特征的非结构化数据	处理特定结构的数据有优势	JSON、XML等
非结构化数据组织	无预定数据模型或结构的数据	灵活性高，可扩展性强	如NoSQL等

User data management and control in internet of behaviors： a review

行为互联网用户数据管控研究现状综述

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