Privacy-Preservation Techniques for IoT Devices: A Systematic Mapping Study
Open accessAbstract
The Internet of Things (IoT) is becoming a pervasive technology entangled in everyday life. The objective of IoT is to provide ubiquitous access to numerous devices and machines on service providers. However, IoT-based devices may expose a user to various privacy and security threats. Privacy-preservation techniques focus on securing any type of data transfer between different parties. We aim to deliver the current state of the art in terms of privacy-preservation techniques used for IoT devices that have been discussed in the literature. Therefore, we carried out a systematic identification of the privacy-preservation techniques for IoT devices that have been described in the cybersecurity domain. To do so, we followed rigorous guidelines to define our research protocol to increase the repeatability and reliability of our results. A set of ten research questions was created to drive the analysis of our study. This research work comprehensively analyzes and discusses the privacy-preservation techniques for IoT devices published in five different academic venues. We identified 260 studies, mostly published between 2017 and 2021, that were systematically selected from an initial set of 1394 papers. The most active research areas in privacy-preservation techniques for IoT devices discuss cryptography techniques to improve the authentication process to access IoT devices. The majority of authors presented privacy-preservation techniques for IoT that involved inventory privacy thr…
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Torre et al. [9] systematically identified privacy protection technologies for IoT devices in network security, analyzed technologies published in five academic venues, and discussed privacy interference attacks.
“Torre et al. [9] systematically identified privacy protection technologies for IoT devices described in the field of network security, analyzed privacy protection technologies for IoT devices published in five different academic venues, and discussed privacy interference attacks in different academic venues.”
From A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends (2024) · cites this paper as [9]
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A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends
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A review of occupancy detection techniques for HVAC control: Advances and practical challenges
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Integrating Indigenous Knowledge Systems in the Fourth Industrial Revolution (4IR)
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Intrusion Detection in Smart Homes: A Comprehensive Review
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Review on Privacy Preservation Techniques and Challenges in IoT Devices
Meena, P., Jajal, B., & Khanna, S. O. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-59100-6_8 · Cited by 4 · see citing works
Adhikari, M., Gautam, D., Kaur, P., Vaghela, D., Chaeikar, S. S., & Najafabadi, M. K. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-96-6938-7_31 · Cited by 4 · see citing works
Approaches for Anonymization Methods in IoT Preservation Privacy
Vasilakis, M., Vardalachakis, M., & Tampouratzis, M. G. (2025) · International Conference in Electronic Engineering & Information Technology (EEITE) · doi:10.1109/eeite65381.2025.11166166 · Cited by 3 · see citing works
Poster: PrivaSee: Augmented Reality-Enabled Privacy Perception Visualization for Internet of Things
Zhang, Y., Du, S., Wen, J., LiKamWa, R., Fang, S., & Pan, S. (2024) · International Conference on Mobile Systems, Applications, and Services · doi:10.1145/3643832.3661426 · Cited by 2 · see citing works
Patel, N. J., & Jadhav, A. (2024) · IET Cyber-Physical Systems Theory & Applications · doi:10.1049/cps2.12100 · Cited by 1 · see citing works
Liu, G., Xiong, J., Liu, X., Zou, X., Ke, C., & Dou, Z. (2025) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2025.105185 · Cited by 1 · see citing works
Privacy-Preserving Techniques and User Anonymity in the Metaverse
Gupta, B. B., Han, C., & Chaurasia, P. (2024) · Advances in information security, privacy, and ethics book series · doi:10.4018/979-8-3693-3824-7.ch012 · Cited by 1 · see citing works
The Role of AI in Data Anonymization: Can We Trust It with Our Privacy?
Bodimani, M. (2025) · International Journal For Multidisciplinary Research · doi:10.36948/ijfmr.2025.v07i02.42670 · Cited by 1 · see citing works
Shobha, T., Rashmi, R., Chaitanya, L. R., Medhini, C. V., Chandana, R. J., & Gowda, S. P. (2026) · Scientific Reports · doi:10.1038/s41598-026-52894-w · Cited by 1 · see citing works
Privacy Preserving Techniques and Their Applications in Elearning
Ivanova, M., & Trifonova, I. (2023) · Innovative STEM Education · doi:10.55630/stem.2023.0512
Integración de la Biometría en el Internet de las cosas: Desafíos y Oportunidades
Asto, M. K. L., & Santos, A. C. M. D. L. (2024) · Revista Científica BIOTECH AND ENGINEERING · doi:10.52248/eb.vol4iss1.108
A Privacy-Preserving and Efficient Fuzzy Range Query Processing Scheme on Cloud Server
Liu, N., & Shen, G. (2024) · Communications in computer and information science · doi:10.1007/978-981-96-0151-6_15
NESNELERİN İNTERNETİNDE VERİ MAHREMİYETİNİN KORUNMASI ÜZERİNE BİR İNCELEME
Kabasakaloğlu, M. U., & Eyüpoğlu, C. (2025) · İstanbul Ticaret Üniversitesi Teknoloji ve Uygulamalı Bilimler Dergisi · doi:10.56809/icujtas.1630096
Innovative Solutions for Smart Cities with Internet of Things
Mishra, P., & Singh, G. K. (2025) · Springer eBooks · doi:10.1007/978-3-032-01102-2_3
Real-Time Context-Aware Privacy Adaptation for IoT: A Lightweight Approach
Shaheen, Y. Y., Hornos, M. J., & Rodríguez-Domínguez, C. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-14138-5_5
A REVIEW ON DATA PRIVACY PRESERVATION IN INTERNET OF THINGS
Kabasakaloğlu, M. U., & Eyüpoğlu, C. (2025) · DergiPark (Istanbul University)
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Moving target defense in Edge-Cloud systems: a systematic literature review
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Towards trustworthy IoT networks: A systematic review of non-repudiation mechanisms
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Statistical and hybrid intelligent optimization approach for privacy preservation in IoT data
Maheshwari, G. U., Karthiga, M., & Kumar, G. S. (2026) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-026-03336-6
Ati, M. K. (2026) · WSEAS TRANSACTIONS on COMMUNICATIONS archive · doi:10.37394/23204.2026.25.6
Privacy-Preserving IoT Data Inquiry Using DNS over TLS
Sagara, H., Sunahara, S., Jin, Y., & Iida, K. (2026) · Network · doi:10.3390/network6040097
Mind the Attack: How security threats are shaping software deployed on Unmanned Aerial Vehicles
Wei, X., Klymenko, J., Torre, D., & Fucci, D. (2026) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3860892
Self-citation
- Authors
- Torre, D., Chennamaneni, A., & Rodriguez, A.
- Affiliations
- Texas A&M University – Central Texas (US)
- Venue
- IEEE Access
- Published
- 2023
- Volume
- 11
- Pages
- 16323-16345
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W4320713036
- Cited by
- 35
- References
- 299
- Citations by year
- 2026: 11 · 2025: 13 · 2024: 10 · 2023: 1
- FWCI
- 3.88
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- IEEE Access (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Air Force Research Laboratory (AFRL) and Department of Homeland Security (DHS) Science and Technology (S&T) Directorate (FA8750-19-C-0077)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Keywords
- Internet of Things, privacy preservation, IoT devices, cryptography, authentication, secure data transmission, privacy risks
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