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Cited by 313Indoor and Outdoor Localization TechnologiesGNSS positioning and interferenceIoT and Edge/Fog Computing

Robustness, Security and Privacy in Location-Based Services for Future IoT: A Survey

Open access
Chen, Liang, Thombre, Sarang, Jarvinen, Kimmo, Lohan, Elena Simona, Alen-Savikko, Anette, Leppakoski, Helena, Bhuiyan, M. Zahidul H., Bu-Pasha, Shakila +6 more·2017·IEEE Access
DOI 10.1109/access.2017.2695525
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Abstract

Internet of Things (IoT) connects sensing devices to the Internet for the purpose of exchanging information. Location information is one of the most crucial pieces of information required to achieve intelligent and context-aware IoT systems. Recently, positioning and localization functions have been realized in a large amount of IoT systems. However, security and privacy threats related to positioning in IoT have not been sufficiently addressed so far. In this paper, we survey solutions for improving the robustness, security, and privacy of location-based services in IoT systems. First, we provide an in-depth evaluation of the threats and solutions related to both global navigation satellite system (GNSS) and non-GNSS-based solutions. Second, we describe certain cryptographic solutions for security and privacy of positioning and location-based services in IoT. Finally, we discuss the state-of-the-art of policy regulations regarding security of positioning solutions and legal instruments to location data privacy in detail. This survey paper addresses a broad range of security and privacy aspects in IoT-based positioning and localization from both technical and legal points of view and aims to give insight and recommendations for future IoT systems providing more robust, secure, and privacy-preserving location-based services.

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Crossref · 10.1109/access.2017.2695525

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  • Traditional AI/ML-based localization systems suffer from lack of robustness and privacy leakage due to centralized processing.

    “Traditional AI/ML-based localization systems often suffer from the lack of robustness due to the dynamics of mobile environments and privacy leakage bottlenecks caused by the centralized data processing architecture for object localization [87].”

    From Federated Learning for Internet of Things: A Comprehensive Survey (2021) · cites this paper as [87]

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Authors
Chen, L., Thombre, S., Jarvinen, K., Lohan, E. S., Alen-Savikko, A., Leppakoski, H., Bhuiyan, M. Z. H., Bu-Pasha, S., Ferrara, G. N., Honkala, S., Lindqvist, J., Ruotsalainen, L., Korpisaari, P., & Kuusniemi, H.
Affiliations
  • Finnish Geospatial Research Institute (FI)
  • University of Helsinki (FI)
  • Tampere University of Technology (FI)
ORCID
Venue
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2017
Volume
5
Pages
8956-8977
ISSN
2169-3536 (ISSN-L)
DOI
10.1109/access.2017.2695525
OpenAlex
W2605943641
Cited by
313
References
3
Citations by year
2026: 5 · 2025: 14 · 2024: 23 · 2023: 46 · 2022: 42 · 2021: 50 · 2020: 45 · 2019: 46 · 2018: 34 · 2017: 8
FWCI
15.12
Type
journal article
Language
en
Open access
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/OAPA.html (vor)
Locations
  • IEEE Access (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Työväentutkimus Vuosikirja (submittedVersion)
  • Tampere University Institutional Repository (Tampere University) (submittedVersion)
Funders
Academy of Finland (no. 303576)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
  • Physical Sciences › Engineering › Aerospace Engineering › GNSS positioning and interference
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
Keywords
Internet of Things, location-based services, positioning, localization, GNSS, privacy, security (computing), location privacy, legal regulation

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