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Publication detail
MALINA, L. SRIVASTAVA, G. DZURENDA, P. HAJNÝ, J. RICCI, S.
Original Title
A Privacy-Enhancing Framework for Internet of Things Services
Type
conference paper
Language
English
Original Abstract
The world has seen an influx of connected devices through both smart devices and smart cities, paving the path forward for the Internet of Things (IoT). These emerging intelligent infrastructures and applications based on IoT can be beneficial to users only if essential private and secure features are assured. However, with constrained devices being the norm in IoT, security and privacy are often minimized. In this paper, we first categorize various existing privacy-enhancing technologies (PETs) and assessment of their suitability for privacy-requiring services within IoT. We also categorize potential privacy risks, threats, and leakages related to various IoT use cases. Furthermore, we propose a simple novel privacy-preserving framework based on a set of suitable privacy-enhancing technologies in order to maintain security and privacy within IoT services.
Keywords
Authentication; Cryptography; Evaluation; Identification; Internet of Things; Privacy; Privacy-Enhancing Technologies; Security; Safety
Authors
MALINA, L.; SRIVASTAVA, G.; DZURENDA, P.; HAJNÝ, J.; RICCI, S.
Released
15. 12. 2019
Publisher
Springer
ISBN
978-3-030-02744-5
Book
13th International Conference on Network and System Security
0302-9743
Periodical
Lecture Notes in Computer Science
Year of study
11928
Number
2019
State
Federal Republic of Germany
Pages from
77
Pages to
97
Pages count
19
BibTex
@inproceedings{BUT159760, author="Lukáš {Malina} and Gautam {Srivastava} and Petr {Dzurenda} and Jan {Hajný} and Sara {Ricci}", title="A Privacy-Enhancing Framework for Internet of Things Services", booktitle="13th International Conference on Network and System Security", year="2019", journal="Lecture Notes in Computer Science", volume="11928", number="2019", pages="77--97", publisher="Springer", doi="10.1007/978-3-030-36938-5\{_}5", isbn="978-3-030-02744-5", issn="0302-9743" }