Security and privacy of things:Regulatory challenges and gaps for the secure integration of cyber-physical systems


The rise of interconnected “intelligent” objects that move their capabilities from sensing and data processing to decision making will be a disruptive phenomenon that further widens the gaps between legal, regulatory and technological approaches. This research sets out to establish a guided road map through the maze of regulation by incorporating the fragmented governance efforts into a single focus where security and privacy gaps unique to machine-to-machine communication (M2M) are identified against key performance metrics. We use privacy, ethics, trust, legality, data sharing, operational integration and device and communication protocols as our key performance metrics to highlight areas of significant overlap and gaps in a comprehensive list of standards to assist policymakers and researchers in the field. Results also indicate that policy concerns and diffused responses from existing standards raise unacceptable risks for the cyber and physical spheres in the IoT preventing their integration with existing hierarchical security architectures and reducing the opportunities for mass-market economies of scale.

Publication DOI:
Divisions: College of Business and Social Sciences > Aston Business School > Cyber Security Innovation (CSI) Research Centre
College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: © Springer Nature B.V. 2019. The final publication is available at Springer via Copies of full items can be used for personal research or study, educational, or not-for-profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way.
Uncontrolled Keywords: Cyber-physical systems,Governance,Internet of things,Machine-to-machine,Control and Systems Engineering,Computer Science(all)
ISBN: 978-981-13-1164-2, 978-981-13-1165-9
Last Modified: 28 Feb 2024 08:08
Date Deposited: 08 Feb 2023 11:44
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Related URLs: https://link.sp ... 981-13-1165-9_1 (Publisher URL)
PURE Output Type: Chapter
Published Date: 2018-09-29
Published Online Date: 2018-09-29
Authors: Lee, Geraldine
Epiphaniou, Gregory
Al-Khateeb, Haider (ORCID Profile 0000-0001-8944-123X)
Maple, Carsten



Version: Accepted Version

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