Cited by 162Information and Cyber SecurityIoT and Edge/Fog ComputingInternet of Things and AI

Future developments in cyber risk assessment for the internet of things

Open access
Radanliev, Petar, De Roure, David Charles, Nicolescu, Razvan, Huth, Michael, Montalvo, Rafael Mantilla, Cannady, Stacy, Burnap, Peter·2018·Computers in Industry

Abstract

This article is focused on the economic impact assessment of Internet of Things (IoT) and its associated cyber risks vectors and vertices – a reinterpretation of IoT verticals. We adapt to IoT both the Cyber Value at Risk model, a well-established model for measuring the maximum possible loss over a given time period, and the MicroMort model, a widely used model for predicting uncertainty through units of mortality risk. The resulting new IoT MicroMort for calculating IoT risk is tested and validated with real data from the BullGuard's IoT Scanner (over 310,000 scans) and the Garner report on IoT connected devices. Two calculations are developed, the current state of IoT cyber risk and the future forecasts of IoT cyber risk. Our work therefore advances the efforts of integrating cyber risk impact assessments and offer a better understanding of economic impact assessment for IoT cyber risk.

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  1. R. Koch and G. Rodosek, Proceedings of the 15th European Conference on Cyber Warfare and Security : ECCWS 2016 : hosted by Universitaẗ der Bundeswehr, Munich, Germany 7-8 July 2016. 2016.
  2. S. J. Ruffle, G. Bowman, F. Caccioli, A. W. Coburn, S. Kelly, B. Leslie, and D. Ralph, 'Stress Test Scenario: Sybil Logic Bomb Cyber Catastrophe,' Cambridge Risk Framew. Ser. Cent. Risk Stud. Univ. Cambridge., 2014.
  3. R. Rajkumar, I. Lee, L. Sha, J. Stankovic, Proceedings of the 47th Design Automation Conference on -DAC' 10, (2010) , pp. 731.
  4. G. Rodewald, Proceedings of the 2nd Annual Conference on Information Security Curriculum Development -InfoSecCD' 05, (2005) , pp. 139.

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Authors
Radanliev, P., De Roure, D. C., Nicolescu, R., Huth, M., Montalvo, R. M., Cannady, S., & Burnap, P.
Affiliations
  • University of Oxford (GB)
  • Imperial College London (GB)
  • Cisco Systems (United States) (US)
Corresponding author
  • Radanliev, Petar
  • Huth, Michael
  • Montalvo, Rafael Mantilla
  • Cannady, Stacy
Venue
Computers in Industry
Publisher
Elsevier BV
Published
2018-11
Volume
102
Pages
14-22
ISSN
0166-3615 (ISSN-L)
OpenAlex
W2887645765
Cited by
162
References
48
Citations by year
2026: 9 · 2025: 6 · 2024: 14 · 2023: 29 · 2022: 17 · 2021: 29 · 2020: 28 · 2019: 30
FWCI
35.10
Type
journal article
Language
en
Open access
Locations
  • Computers in Industry (publishedVersion, cc-by)
  • Munich Personal RePEc Archive (Ludwig Maximilian University of Munich) (acceptedVersion)
  • ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • Spiral (Imperial College London) (submittedVersion, other-oa)
Funders
  • UK EPSRC (EP/N02334X/1, EP/N023013/1)
  • Cisco Research Centre (2017-169701 (3696))
  • Fulbright Commission
Topics
  • Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
Keywords
Internet of Things, cybersecurity risk assessment, economic impact assessment, mortality risk, Internet of Things security, risk prediction

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