Detail publikace

A Privacy-Enhancing Framework for Internet of Things Services

MALINA, L. SRIVASTAVA, G. DZURENDA, P. HAJNÝ, J. RICCI, S.

Originální název

A Privacy-Enhancing Framework for Internet of Things Services

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Authentication; Cryptography; Evaluation; Identification; Internet of Things; Privacy; Privacy-Enhancing Technologies; Security; Safety

Autoři

MALINA, L.; SRIVASTAVA, G.; DZURENDA, P.; HAJNÝ, J.; RICCI, S.

Vydáno

15. 12. 2019

Nakladatel

Springer

ISBN

978-3-030-02744-5

Kniha

13th International Conference on Network and System Security

ISSN

0302-9743

Periodikum

Lecture Notes in Computer Science

Ročník

11928

Číslo

2019

Stát

Spolková republika Německo

Strany od

77

Strany do

97

Strany počet

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"
}