Securing Data Provenance in Internet of Things (IoT) Systems View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017

AUTHORS

Nathalie Baracaldo , Luis Angel D. Bathen , Roqeeb O. Ozugha , Robert Engel , Samir Tata , Heiko Ludwig

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. More... »

PAGES

92-98

References to SciGraph publications

  • 2013. Keyless Signatures’ Infrastructure: How to Build Global Distributed Hash-Trees in SECURE IT SYSTEMS
  • 2005. High Availability in DHTs: Erasure Coding vs. Replication in PEER-TO-PEER SYSTEMS IV
  • 2001-10-12. Why and Where: A Characterization of Data Provenance in DATABASE THEORY — ICDT 2001
  • 2005. Fuzzy Identity-Based Encryption in ADVANCES IN CRYPTOLOGY – EUROCRYPT 2005
  • 2014. Efficient Record-Level Keyless Signatures for Audit Logs in SECURE IT SYSTEMS
  • Book

    TITLE

    Service-Oriented Computing – ICSOC 2016 Workshops

    ISBN

    978-3-319-68135-1
    978-3-319-68136-8

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-68136-8_9

    DOI

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

    DIMENSIONS

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