The Research Trends and Hot Topics in Security Governance of New Era Data-Entity Integration

Gang Xu; Nan Xiang; Yihong Wang; Jieming Ma; Yushan Pan; Wei Wang

doi:10.1016/j.ifacol.2025.12.550

The Research Trends and Hot Topics in Security Governance of New Era Data-Entity Integration

Gang Xu
, Nan Xiang
, Yihong Wang
, Jieming Ma
, Yushan Pan
, Wei Wang^*

^*Corresponding author for this work

Xi'an Jiaotong-Liverpool University

Research output: Contribution to journal › Conference article › peer-review

Abstract

In 2023, China made "new-quality productive forces" a national priority, accelerating digital-physical integration. The next-gen digital economy relies on resilient digital infrastructure and robust governance, with data-real-world fusion as key. However, critical sectors face fragmented data standards and poor data quality, risking integrity and safety. To achieve true convergence, high-standard data handling, better IoT connectivity, and smooth human-machine interfaces are needed. This paper explores AI-driven data-to-entity integration for IoT.

Original language	English
Pages (from-to)	637-642
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	59
Issue number	35
DOIs	https://doi.org/10.1016/j.ifacol.2025.12.550
Publication status	Published - 2025
Event	16th IFAC Symposium on Analysis, Design and Evaluation of Human-Machine Systems, HMS 2025 - Beijing, China Duration: 18 Nov 2025 → 21 Nov 2025

Keywords

data-entity integration
Internet of Things(IoT)

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10.1016/j.ifacol.2025.12.550

Cite this

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title = "The Research Trends and Hot Topics in Security Governance of New Era Data-Entity Integration",

abstract = "In 2023, China made {"}new-quality productive forces{"} a national priority, accelerating digital-physical integration. The next-gen digital economy relies on resilient digital infrastructure and robust governance, with data-real-world fusion as key. However, critical sectors face fragmented data standards and poor data quality, risking integrity and safety. To achieve true convergence, high-standard data handling, better IoT connectivity, and smooth human-machine interfaces are needed. This paper explores AI-driven data-to-entity integration for IoT.",

keywords = "data-entity integration, Internet of Things(IoT)",

author = "Gang Xu and Nan Xiang and Yihong Wang and Jieming Ma and Yushan Pan and Wei Wang",

note = "Publisher Copyright: {\textcopyright} 2025 Elsevier B.V.. All rights reserved.; 16th IFAC Symposium on Analysis, Design and Evaluation of Human-Machine Systems, HMS 2025 ; Conference date: 18-11-2025 Through 21-11-2025",

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doi = "10.1016/j.ifacol.2025.12.550",

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T1 - The Research Trends and Hot Topics in Security Governance of New Era Data-Entity Integration

AU - Xu, Gang

AU - Xiang, Nan

AU - Wang, Yihong

AU - Ma, Jieming

AU - Pan, Yushan

AU - Wang, Wei

PY - 2025

Y1 - 2025

N2 - In 2023, China made "new-quality productive forces" a national priority, accelerating digital-physical integration. The next-gen digital economy relies on resilient digital infrastructure and robust governance, with data-real-world fusion as key. However, critical sectors face fragmented data standards and poor data quality, risking integrity and safety. To achieve true convergence, high-standard data handling, better IoT connectivity, and smooth human-machine interfaces are needed. This paper explores AI-driven data-to-entity integration for IoT.

AB - In 2023, China made "new-quality productive forces" a national priority, accelerating digital-physical integration. The next-gen digital economy relies on resilient digital infrastructure and robust governance, with data-real-world fusion as key. However, critical sectors face fragmented data standards and poor data quality, risking integrity and safety. To achieve true convergence, high-standard data handling, better IoT connectivity, and smooth human-machine interfaces are needed. This paper explores AI-driven data-to-entity integration for IoT.

KW - data-entity integration

KW - Internet of Things(IoT)

UR - https://www.scopus.com/pages/publications/105029540541

U2 - 10.1016/j.ifacol.2025.12.550

DO - 10.1016/j.ifacol.2025.12.550

M3 - Conference article

AN - SCOPUS:105029540541

SN - 2405-8971

VL - 59

SP - 637

EP - 642

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 35

T2 - 16th IFAC Symposium on Analysis, Design and Evaluation of Human-Machine Systems, HMS 2025

Y2 - 18 November 2025 through 21 November 2025

ER -

The Research Trends and Hot Topics in Security Governance of New Era Data-Entity Integration

Abstract

Keywords

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