Article

Securing Data Provenance in Internet of Things (IoT) Systems

Authors:

Nathalie Baracaldo,

Luis Angel D. Bathen,

Roqeeb O. Ozugha,

Heiko LudwigAuthors Info & Claims

Service-Oriented Computing – ICSOC 2016 Workshops: ASOCA, ISyCC, BSCI, and Satellite Events, Banff, AB, Canada, October 10–13, 2016, Revised Selected Papers

Pages 92 - 98

https://doi.org/10.1007/978-3-319-68136-8_9

Published: 10 October 2016 Publication History

Abstract

The Internet of Things (IoT) promises to yield a plethora of new innovative applications based on highly interconnected devices. In order to enable IoT applications for critical and/or sensitive use cases, it is important to (i) foster their dependability by assuring and verifying the integrity and correctness of data processed in such applications, and (ii) adequately account for privacy and confidentiality concerns. For addressing these requirements, IoT systems can be equipped with data provenance mechanisms for maintaining information on the lineage and ownership of data. However, in order to provide secure and dependable IoT systems, provenance data needs to be sufficiently protected against tampering and unauthorized access. In this paper, we present a novel framework for cryptographic provenance data protection and access control based on blockchain technology and confidentiality policies.

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Cited By

Sigwart MBorkowski MPeise MSchulte STai S(2019)Blockchain-based Data Provenance for the Internet of ThingsProceedings of the 9th International Conference on the Internet of Things10.1145/3365871.3365886(1-8)Online publication date: 22-Oct-2019
https://dl.acm.org/doi/10.1145/3365871.3365886

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Securing Data Provenance in Internet of Things (IoT) Systems

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Information & Contributors

Information

Published In

cover image Guide Proceedings

Service-Oriented Computing – ICSOC 2016 Workshops: ASOCA, ISyCC, BSCI, and Satellite Events, Banff, AB, Canada, October 10–13, 2016, Revised Selected Papers

Oct 2016

198 pages

ISBN:978-3-319-68135-1

DOI:10.1007/978-3-319-68136-8

Editors:
Khalil Drira
Université de Toulouse, Toulouse, France
,
Hongbing Wang
Southeast University, Jiangsu, China
,
Qi Yu
Rochester Institute of Technology, Rochester, New York, USA
,
Yan Wang
Macquarie University, Sydney, New South Wales, Australia
,
Yuhong Yan
Concordia University, Montreal, Québec, Canada
,
François Charoy
CNRS, Université de Lorraine, Nancy, France
,
Jan Mendling
Vienna University of Economics and Business, Vienna, Austria
,
Mohamed Mohamed
IBM Research, San Jose, California, USA
,
Zhongjie Wang
Harbin Institute of Technology, Harbin, China
,
Sami Bhiri
University of Monastir, Monastir, Tunisia

© Springer International Publishing AG 2017.

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 10 October 2016

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Cited By

Sigwart MBorkowski MPeise MSchulte STai S(2019)Blockchain-based Data Provenance for the Internet of ThingsProceedings of the 9th International Conference on the Internet of Things10.1145/3365871.3365886(1-8)Online publication date: 22-Oct-2019
https://dl.acm.org/doi/10.1145/3365871.3365886

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