Title

Privacy-aware in the IoT applications: A systematic literature review

Document Type

Conference Proceeding

Source of Publication

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publication Date

1-1-2017

Abstract

© 2017, Springer International Publishing AG. The Internet of Things (IoT) emerged as a paradigm in which smart things collaborate among them and with other physical and virtual objects using the Internet in order to perform high level tasks. These things appear in a variety of application domains, including smart grid, health care and smart spaces where several parties share data in order to tackle specific tasks. Data in such domains are rich in sensitive data and data owner-specific habits. Thus, IoT raises concerns about privacy and data protection. This paper reports on a systematic literature review of privacy preserving solutions used in Cooperative Information Systems (CIS) in the IoT field. To do so, and after retrieving scientific productions on the subject, we classify the results according to several facets. In this paper, we consider a subset of them: (i) data life cycle, (ii) privacy preserving techniques and (iii) ISO privacy principles. We combine the facets then express and analyze the results as bubble charts. We analyze the proposed solutions in terms of the techniques they deployed and the privacy principles they covered according to the ISO standard and the data privacy laws and regulations of the European Commission on the Protection of Personal Data. Finally, we identifies recommendations to involve privacy principle coverage and security requirement fulfillment in the IoT applications.

ISBN

9783319694610

ISSN

0302-9743

Publisher

Springer Verlag

Volume

10573 LNCS

First Page

552

Last Page

569

Disciplines

Computer Sciences

Keywords

Internet of things; Laws and legislation; Life cycle; Security of data; Cooperative information systems; European Commission; Internet of thing (IOT); Privacy preserving; Privacy preserving solutions; Privacy principle; Security requirements; Systematic literature review; Data privacy

Scopus ID

85032685460

Indexed in Scopus

yes

Open Access

yes

Open Access Type

Green: A manuscript of this publication is openly available in a repository

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