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2024 | OriginalPaper | Chapter

Analysis of IoT Privacy Policies in Smart Transportation Systems

Authors : Nil Kilicay-Ergin, Adrian Barb

Published in: The Proceedings of the 2023 Conference on Systems Engineering Research

Publisher: Springer Nature Switzerland

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Abstract

Smart transportation systems utilize a variety of Internet of Things (IoT) sensors, real-time data communication technologies, and advanced computing techniques to manage its services, resources, and infrastructure more efficiently. There is an increasing interest in transforming transportation systems into intelligent systems, but persistent concerns over privacy are slowing down the adoption of smart applications. This paper presents a knowledge elicitation methodology based on natural language processing and deep learning techniques to analyze privacy policies of several smart transportation IoT applications. Text similarity analysis is performed to identify the privacy functions that are less frequently addressed by IoT privacy policies. Initial results support decision-makers in understanding the contextual privacy characteristics of the smart transportation domain.

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Metadata
Title
Analysis of IoT Privacy Policies in Smart Transportation Systems
Authors
Nil Kilicay-Ergin
Adrian Barb
Copyright Year
2024
Book
The Proceedings of the 2023 Conference on Systems Engineering Research

Print ISBN: 978-3-031-49178-8

Electronic ISBN: 978-3-031-49179-5

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-3-031-49179-5_26