Dr. Daniel Woods
Former Member

E-maildaniel.woods@uibk.ac.at
Dr. Daniel Woods

Research Teaser

Research Interests

  • Computational insurance
  • Economics of information security
  • Cyber risk modeling

Positions

since 07/2022 Lecturer, School of Informatics, University of Edinburgh, UK
09/2019 – 06/2022 Postdoctoral Fellow, Department of Computer Science, University of Innsbruck, Austria
08/2018 – 02/2019 Fulbright Cybersecurity Scholar, Tandy School of Computer Science, University of Tulsa, Oklahoma, USA
06/2017 – 07/2017 Cyber Risk Analyst, Willis Towers Watson, London, UK
2015 – 2019 Doctoral Student in Cyber Security, University of Oxford, UK

Education

08/2019 Ph.D. in Computer Science, University of Oxford, UK
2011 – 2015 MSci. in Mathematics, University of Bristol, UK

Publications

  • Arce, D., Woods, D.W., and Böhme, R. Economics of Incident Response Panels in Cyber Insurance. Computers & Security, 140, (May 2024). [Publisher]
  • Woods, D.W., Böhme, R., Wolff, J., and Schwarcz, D. Lessons Lost: Incident Response in the Age of Cyber Insurance and Breach Attorneys. In USENIX Security Symposium. USENIX Association, 2023, pp. 2259–2273. [Publisher] [Preprint] [Video]
  • Woods, D.W. and Böhme, R. Incident Response as a Lawyers’ Service. IEEE Security & Privacy, 20, 2 (2022), 68–74. [Publisher] [Preprint]
  • Woods, D.W. and Böhme, R. The Commodification of Consent. Computers & Security, 115, (April 2022). [Publisher]
  • Woods, D.W. and Böhme, R. How Cyber Insurance Shapes Incident Response: A Mixed Methods Study. In Workshop on the Economics of Information Security (WEIS). 2021. [PDF]
  • Woods, D.W. and Böhme, R. SoK: Quantifying Cyber Risk. In IEEE Symposium on Security and Privacy. 2021, pp. 909–926. [Publisher] [Preprint] [Video]
  • Hils, M., Woods, D.W., and Böhme, R. Privacy Preference Signals: Past, Present and Future. Proceedings on Privacy Enhancing Technologies, 4 (2021), 249–269. [Publisher] [Preprint] [Video]
  • Sridhar, K., Householder, A., Spring, J., and Woods, D.W. Cybersecurity Information Sharing: Analysing an Email Corpus of Coordinated Vulnerability Disclosure. In Workshop on the Economics of Information Security (WEIS). 2021. [Publisher]
  • Woods, D.W., Moore, T., and Simpson, A.C. The County Fair Cyber Loss Distribution: Drawing Inference from Insurance Prices. Digital Threats: Research and Practice, 2, 10 (2021). [Publisher]
  • Hils, M., Woods, D.W., and Böhme, R. Conflicting Privacy Preference Signals in the Wild. In Computers, Privacy and Data Protection. Brussels, 2022. [Preprint]
  • Selzer, A., Woods, D.W., and Böhme, R. An Economic Analysis of Appropriateness under Article 32 GDPR. European Data Protection Law Review, 7, 3 (2021), 456–470. [Publisher]
  • Woods, D.W. and Böhme, R. The Commodification of Consent. In Workshop on the Economics of Information Security (WEIS). Brussels, Belgium, 2020. [PDF] [Video]
  • Hils, M., Woods, D.W., and Böhme, R. Measuring the Emergence of Consent Management on the Web. In Internet Measurement Conference (IMC). ACM, 2020. [PDF] [Video]
  • Woods, D.W. and Moore, T. Cyber Warranties: Market Fix or Marketing Trick. Communications of the ACM, 63, 4 (2020), 104–107. [PDF] [Video]
  • Woods, D.W. and Moore, T. Does Insurance Have a Future in Governing Cybersecurity? IEEE Security & Privacy, 18, 1 (2020), 21–27. [PDF]
  • Panda, S., Woods, D.W., Laszka, A., Fielder, A., and Panaousis, E. Post-Incident Audits on Cyber Insurance Discounts. Computers & Security, 87, (2019), 101593. [Publisher]
  • Woods, D.W., Moore, T., and Simpson, A.C. The County Fair Cyber Loss Distribution: Drawing Inference from Insurance Prices. In Workshop on the Economics of Information Security (WEIS). Harvard University, Cambridge, MA, 2019. [PDF]
  • Woods, D.W. and Simpson, A.C. Cyber-Warranties as a Quality Signal for Information Security Products. In L. Bushnell, R. Poovendran and T. Başar, eds., International Conference on Decision and Game Theory for Security. Lecture Notes in Computer Science 11199, Springer, 2018, pp. 22–37.
  • Woods, D.W. and Simpson, A.C. Monte Carlo Methods to Investigate How Aggregated Cyber Insurance Claims Data Impacts Security Investments. In Workshop on the Economics of Information Security (WEIS). Innsbruck, Austria, 2018. [PDF]
  • Woods, D.W., Agrafiotis, I., Nurse, J.R.C., and Creese, S. Mapping the Coverage of Security Controls in Cyber Insurance Proposal Forms. Journal of Internet Services and Applications, 8, 1 (2017), 8. [Publisher]
  • Woods, D.W. and Simpson, A.C. Policy Measures and Cyber Insurance: A Framework. Journal of Cyber Policy, 2, 2 (2017), 209–226. [Publisher]

Projects