A novel model for preserving Location Privacy in Internet of Things
Abstract
The Internet of Things (IoT) is an Internet-based architecture for the exchange of information and services amongst millions of devices. Due to massive use of IoT for various benefits, there are high security and privacy related issues which need to be addressed. Many techniques have been proposed for preserving location privacy in the context of IoT. Some of these techniques are based on anonymization and others on obfuscation. However, the existing research clearly lags in preserving location privacy in IoT and has common issues such as being specific or restricted to certain location. This research focuses on preserving location privacy in the context of IoT. In this paper, we propose an Enhanced Semantic Obfuscation Technique (ESOT) for preserving location privacy in the IoT. We compare the performance of ESOT with previously developed Semantic Obfuscation Technique (SOT). The results show that ESOT achieves better location privacy and provides a balance between privacy and utility of location services.
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Privacy assurance can be achieved by using Blockchain and authentication algorithms.
“For that purpose, privacy assurance can be achieved by using Blockchain, and authentication algorithms [30], [31].”
From Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey (2023) · cites this paper as [30]
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Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey
Ali, M., Naeem, F., Tariq, M., & Kaddoum, G. (2023) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2022.3181823 · Cited by 366 · see citing works
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Privacy-Preservation Techniques for IoT Devices: A Systematic Mapping Study
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- Authors
- Ullah, I., & Ali Shah, M.
- Affiliations
- COMSATS University Islamabad (PK)
- Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan
- ORCID
- Ullah, Ikram
- Venue
- 2016 22nd International Conference on Automation and Computing (ICAC)
- Publisher
- IEEE
- Published
- 2016-09
- Pages
- 542-547
- OpenAlex
- W2547916646
- Cited by
- 23
- References
- 24
- Citations by year
- 2024: 1 · 2023: 4 · 2022: 2 · 2021: 3 · 2020: 3 · 2019: 2 · 2018: 4 · 2017: 4
- FWCI
- 1.80
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Automation and Computing (ICAC) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Artificial Intelligence › Internet Traffic Analysis and Secure E-voting
- Keywords
- location privacy, Internet of Things, location anonymization, privacy-utility trade-off, location-based services
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