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Adaptive governance for the Internet of Things: Coping with emerging security risks

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  • Irina Brass
  • Jesse H. Sowell
Abstract
The Internet of Things (IoT) is a disruptive innovation known for its socio‐economic potential, but also for generating unprecedented vulnerabilities and threats. As a dynamic sociotechnical system, the IoT comprises well‐known cybersecurity risks and endemic uncertainties that arise as IoT adoption increases and the system evolves. We highlight the impact of these challenges by analyzing how insecure IoT devices pose threats to both consumer protection and the Internet's infrastructure. While recent regulatory responses are starting to target IoT security risks, crucial deficiencies – especially related to the feedback necessary to keep pace with emerging risks and uncertainties – must be addressed. We propose a model of adaptive regulatory governance that integrates the benefits of centralized risk regulatory frameworks with the operational knowledge and mitigation mechanisms developed by epistemic communities that manage day‐to‐day Internet security. Rather than focusing on the choice of regulatory instruments, this model builds on the “planned adaptive regulation” literature to highlight the need to systematically plan for a knowledge‐sharing interface in regulatory governance design for disruptive technologies, facilitating the feedback necessary to address evolving IoT security risks.

Suggested Citation

  • Irina Brass & Jesse H. Sowell, 2021. "Adaptive governance for the Internet of Things: Coping with emerging security risks," Regulation & Governance, John Wiley & Sons, vol. 15(4), pages 1092-1110, October.
  • Handle: RePEc:wly:reggov:v:15:y:2021:i:4:p:1092-1110
    DOI: 10.1111/rego.12343
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    References listed on IDEAS

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    1. Haas, Peter M., 1992. "Introduction: epistemic communities and international policy coordination," International Organization, Cambridge University Press, vol. 46(1), pages 1-35, January.
    2. Carsten Maple, 2017. "Security and privacy in the internet of things," Journal of Cyber Policy, Taylor & Francis Journals, vol. 2(2), pages 155-184, May.
    3. Black, Julia & Baldwin, Robert, 2010. "Really responsive risk-based regulation," LSE Research Online Documents on Economics 27632, London School of Economics and Political Science, LSE Library.
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    Cited by:

    1. Chunyan Jiang, 2024. "Revolutionizing Economic Growth Analysis: a Novel Computational Approach to Assessing the Influence of Technological Financial Efficiency on Real Economic Growth," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 11286-11317, September.
    2. Araz Taeihagh & M Ramesh & Michael Howlett, 2021. "Assessing the regulatory challenges of emerging disruptive technologies," Regulation & Governance, John Wiley & Sons, vol. 15(4), pages 1009-1019, October.
    3. Ho Seoung Na & Junseok Hwang & Hongbum Kim, 2023. "Which Attributes Should be Considered in Regulating the Internet of Things? Evidence From Conjoint Analysis," SAGE Open, , vol. 13(4), pages 21582440231, November.

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