A Privacy-Preserving Device Tracking System Using a Low-Power Wide-Area Network

Ashur, Tomer; Delvaux, Jeroen; Lee, Sanghan; Maene, Pieter; Marin, Eduard; Nikova, Svetla; Reparaz, Oscar; Rožić, Vladimir; Singelée, Dave; Yang, Bohan; Preneel, Bart

doi:10.1007/978-3-030-02641-7_16

Cited by 4 publications

(3 citation statements)

References 33 publications

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“…In the second step, it is necessary to decide which data are required to solve the task, for how long they should be stored, and which sampling frequency is required. In [ 45 ], for example, the position of the tracked object is only stored in the database for 24 h, while older location data are deleted. Ref.…”

Section: Privacy Strategiesmentioning

confidence: 99%

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Reasons and Strategies for Privacy Features in Tracking and Tracing Systems—A Systematic Literature Review

Jandl

Wagner

Moser

et al. 2021

Sensors

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In the course of the digitization of production facilities, tracking and tracing of assets in the supply chain is becoming increasingly relevant for the manufacturing industry. The collection and use of real-time position data of logistics, tools and load carriers are already standard procedure in entire branches of the industry today. In addition to asset tracking, the technologies used also offer new possibilities for collecting and evaluating position and biometric data of employees. Thus, these technologies can be used for monitoring performance or for tracking worker behaviour, which can lead to additional burdens and stress for employees. In this context, the collection and evaluation of employee data can influence the workplace of the affected employee in the company to his or her disadvantage. The approach of Privacy by Design can help to benefit from all the advantages of these systems, while ensuring that the impact on employee privacy is kept to a minimum. Currently, there is no survey available that reviews tracking and tracing systems supporting this important and emerging field. This work provides a systematic overview from the perspective of the impact on employee privacy. Additionally, this paper identifies and evaluates the techniques used with regard to employee privacy in industrial tracking and tracing systems. This helps to reveal new privacy preserving techniques that are currently underrepresented, therefore enabling new research opportunities in the industrial community.

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Section: Privacy Strategiesmentioning

confidence: 99%

“…Refs. [ 10 , 12 , 37 , 41 , 45 , 47 , 48 , 49 ] provide detailed information about their security analysis and thread models. Using these systems, it is clear which privacy issues have been taken into account, so these systems can be better adapted to individual conditions.…”

Section: Privacy Strategiesmentioning

confidence: 99%

Reasons and Strategies for Privacy Features in Tracking and Tracing Systems—A Systematic Literature Review

Jandl

Wagner

Moser

et al. 2021

Sensors

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“…Accordingly, it may refer to identifying, collecting, and processing information derived from services or reference models, which may constitute an industrial secret. Characteristics of the ongoing concern for protecting IoT devices from profiling threats are efforts to enhance privacy in RFID devices [87,88], sensor systems [89], wireless networking [90,91], and identity management [88,92] technologies, to enhance privacy or encryption technology [93,94]. 5.…”

mentioning

confidence: 99%

An Overview of Privacy Dimensions on the Industrial Internet of Things (IIoT)

Demertzi

Demertzis

2023

Algorithms

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The rapid advancements in technology have given rise to groundbreaking solutions and practical applications in the field of the Industrial Internet of Things (IIoT). These advancements have had a profound impact on the structures of numerous industrial organizations. The IIoT, a seamless integration of the physical and digital realms with minimal human intervention, has ushered in radical changes in the economy and modern business practices. At the heart of the IIoT lies its ability to gather and analyze vast volumes of data, which is then harnessed by artificial intelligence systems to perform intelligent tasks such as optimizing networked units’ performance, identifying and correcting errors, and implementing proactive maintenance measures. However, implementing IIoT systems is fraught with difficulties, notably in terms of security and privacy. IIoT implementations are susceptible to sophisticated security attacks at various levels of networking and communication architecture. The complex and often heterogeneous nature of these systems makes it difficult to ensure availability, confidentiality, and integrity, raising concerns about mistrust in network operations, privacy breaches, and potential loss of critical, personal, and sensitive information of the network's end-users. To address these issues, this study aims to investigate the privacy requirements of an IIoT ecosystem as outlined by industry standards. It provides a comprehensive overview of the IIoT, its advantages, disadvantages, challenges, and the imperative need for industrial privacy. The research methodology encompasses a thorough literature review to gather existing knowledge and insights on the subject. Additionally, it explores how the IIoT is transforming the manufacturing industry and enhancing industrial processes, incorporating case studies and real-world examples to illustrate its practical applications and impact. Also, the research endeavors to offer actionable recommendations on implementing privacy-enhancing measures and establishing a secure IIoT ecosystem.

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Privacy-Preserving Authenticated Key Exchange for Constrained Devices

Ferreira

2022

Applied Cryptography and Network Security

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A Privacy-Preserving Device Tracking System Using a Low-Power Wide-Area Network

Cited by 4 publications

References 33 publications

Reasons and Strategies for Privacy Features in Tracking and Tracing Systems—A Systematic Literature Review

Reasons and Strategies for Privacy Features in Tracking and Tracing Systems—A Systematic Literature Review

An Overview of Privacy Dimensions on the Industrial Internet of Things (IIoT)

Privacy-Preserving Authenticated Key Exchange for Constrained Devices

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