Intelligent Building Systems: IoT, Data Governance, and Ethical Challenges

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: 22 August 2026 | Viewed by 270

Special Issue Editors


E-Mail Website
Guest Editor
Department of Computer Science and Media Technology, Malmö University, 205 06 Malmö, Sweden
Interests: cybersecurity; privacy preservation; internet of things (IoT); smart homes; smart buildings; ethics; intrusion detection; vulnerability analysis
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Computer Science and Media Technology, Malmö University, 205 06 Malmö, Sweden
Interests: IoT security; privacy preservation; smart homes; smart buildings; data fusion; risk assessment; intrusion detection; signal processing and data analysis
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Computer Science and Media Technology, Malmö University, 205 06 Malmö, Sweden
Interests: IoT; AI and data management; smart homes; smart buildings; data privacy and security; intelligent monitoring and control

Special Issue Information

Dear Colleagues,

We are entering a transformative era in the evolution of intelligent buildings, where the convergence of the Internet of Things (IoT), advanced data governance and analytics, and ethical considerations is redefining how modern spaces are designed, secured, and experienced. This Special Issue, entitled "Intelligent Building Systems: IoT, Data Governance, and Ethical Challenges", aims to highlight cutting-edge research at the intersection of smart environments, cybersecurity, and responsible data-driven innovation in smart buildings.

As smart buildings become increasingly interconnected and autonomous, the need for trustworthy, secure, and privacy-preserving technologies has grown significantly. IoT-enabled smart building systems now play a key role in automating building operations, detecting anomalies, assessing risks, and enhancing occupant well-being. Consequently, these advancements introduce challenges related to efficient building utilization, data protection, ethical consideration and vulnerability mitigation. This Special Issue seeks to explore these developments, emphasizing both technical innovation and the societal implications of intelligent built environments.

We invite high-quality submissions, including original research, experimental studies, case analyses, and review articles, that offer novel insights into IoT-driven intelligent building systems and their associated security, privacy, governance, and ethical dimensions.

Topics of interest include, but are not limited to, the following:

  • IoT-enabled smart buildings and smart homes: architectures, applications, and deployment considerations.
  • Security and privacy in IoT: intrusion detection, vulnerability assessment, and secure communication.
  • Data governance, ethical AI, and responsible innovation in intelligent building systems.
  • Anomaly detection and predictive analytics for smart environments.
  • Machine learning and deep learning for efficient building utilization, threat detection, user behavior modeling, and system optimization.
  • Cybersecurity frameworks for smart building automation and control systems.
  • Privacy-preserving data analysis: federated learning, differential privacy, and secure data fusion for smart buildings.
  • Risk assessment methodologies for IoT-based building infrastructures.
  • Edge and fog computing for secure and efficient smart building operations.
  • Ethical challenges: surveillance, transparency, user autonomy, and technology-facilitated abuses in smart buildings.
  • Signal processing and sensor data analytics for intelligent building management.
  • Human–machine interactions and trust in automated building systems.

Dr. Andreas Jacobsson
Dr. Kayode Sakariyah Adewole
Dr. Akin Erdal
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • intelligent building systems
  • internet of things (IoT)
  • privacy preservation
  • cybersecurity
  • anomaly detection in smart buildings
  • data governance
  • ethical AI applications
  • intrusion detection in smart buildings
  • risk assessment

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Published Papers (1 paper)

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30 pages, 6469 KB  
Systematic Review
Smart Sustainable Buildings: A Bibliometric and Systematic Review of Research Trends, Themes, and Future Directions
by Yuehong Lu, Hao Zhang, Zhipeng Song, Haixia Ji, Dong Wang, Bo Cheng, Demin Chen, Yang Zhang, Changlong Wang and Yanhong Sun
Buildings 2026, 16(11), 2231; https://doi.org/10.3390/buildings16112231 - 1 Jun 2026
Abstract
This study presents a bibliometric and systematic review of 480 articles meeting the following inclusion criteria: English-language articles, reviews, or proceeding papers focusing on building topics with full text available, retrieved from the Web of Science Core Collection on 9 Jannary 2026 to [...] Read more.
This study presents a bibliometric and systematic review of 480 articles meeting the following inclusion criteria: English-language articles, reviews, or proceeding papers focusing on building topics with full text available, retrieved from the Web of Science Core Collection on 9 Jannary 2026 to map the intellectual landscape of smart-sustainable building (SSB) research. Employing the PRISMA framework combined with scientometric mapping (VOSviewer), thematic classification, and qualitative synthesis (no risk of bias assessment was performed as this was a bibliometric review), the analysis reveals exponential publication growth since 2022, identifying three dominant thematic clusters: digital enabling technologies (41.0%), energy systems (30.8%), and advanced building envelopes and materials (28.3%). Keyword analysis identifies “smart buildings,” “green buildings,” and “energy efficiency” as central conceptual anchors, while temporal trends indicate increasing attention to artificial intelligence, digital twins, and blockchain. Notably, 51.4% of articles address two or more themes simultaneously, confirming the field’s interdisciplinary character. Critical analysis reveals persistent fragmentation: sustainable building rating tools (e.g., BREEAM, LEED) and smart building evaluation methods (e.g., Smart Readiness Indicator). Seven challenges, including assessment fragmentation, high costs, and cybersecurity vulnerabilities, are identified as barriers to SSB adoption. Limitations include reliance on a single database (Web of Science) and subjective thematic classification. This review provides a roadmap for future research emphasizing integrated assessment frameworks and interdisciplinary collaboration. Registration: Not pre-registered. Funding: National Key R&D Program of China (2025YFF0521003). Full article
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