Pete Burnap

Cardiff University

Aberconway Building

Colum Drive

Cardiff, Wales CF10 3EU

United Kingdom

  • Cardiff University

SCHOLARLY PAPERS

4

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352

SSRN CITATIONS

0

CROSSREF CITATIONS

1

Scholarly Papers (4)

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1.

Supply Chain Design for the Industrial Internet of Things and the Industry 4.0

DOI: 10.13140/RG.2.2.36311.32160
Number of pages: 10 Posted: 01 Apr 2019
Petar Radanliev, David C. De Roure, Jason Nurse, Rafael Mantilla Montalvo and Pete Burnap
Department of Engineering Science, affiliation not provided to SSRN, University of Kent, affiliation not provided to SSRN and Cardiff University
Downloads 338 (93,146)
Citation 1

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Industry 4.0; Supply Chain Design; Transformational Design Roadmap; IIoT Supply Chain Model; Decision Support for Information Management

2.

Future Developments in Cyber Risk Assessment for the Internet of Things

Future developments in cyber risk assessment for the internet of things. Computers in Industry, 102, 14–22. DOI/10.1016/J.COMPIND.2018.08.002
Number of pages: 9 Posted: 12 Dec 2018
Petar Radanliev, David de Roure, Razvan Nicolescu, Michael Huth, Rafael Montalvo, Stacy Cannady and Pete Burnap
Department of Engineering Science, University of Southampton - School of Electronics and Computer Science (ECS), Imperial College London, Imperial College London, Cisco Systems, Cisco Systems and Cardiff University
Downloads 14 (584,475)

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IoT Cyber Risk, IoT Risk Analysis, IoT Cyber Insurance, IoT MicroMort, Cyber Value-at-Risk

3.

Private Lenders’ Demand for Audit

Journal of Accounting and Economics (Forthcoming)
Posted: 30 Mar 2015 Last Revised: 14 Jun 2017
Richard Baylis, Pete Burnap, Mark Clatworthy, Mahmoud Gad and Christopher K. M. Pong
Cardiff Business School, Cardiff University, University of Bristol, Department of Accounting and Finance, Lancaster University - Lancaster University Management School and Heriot-Watt University - School of Management and Languages

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Auditing; financial reporting; debt contracts

4.

Artificial intelligence, machine learning and real-time probabilistic data for cyber risk (super) -forecasting

Number of pages: 11
Petar Radanliev, David C. De Roure, Rafael Mantilla Montalvo, Stacy Cannady, Pete Burnap, La’Treall Maddox, Omar Santos, Kevin Page, Max Van Kleek, Eirini Anthi and Carsten Maple
Department of Engineering Science, affiliation not provided to SSRN, affiliation not provided to SSRN, Cisco Systems, Cardiff University, Cisco Systems, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
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Artificial Intelligence, Machine Learning, IoT networks, cyber risk analytics, deep learning algorithms, risk models, edge computing