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Mind the denominator: towards a more effective measurement system for cybersecurity

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  • Eric Jardine

Abstract

Crime statistics in the physical world are routinely normalised around the population of a city or country. Such normalisations are essential, as they provide both a propensity-based perspective on crime (e.g. the odds of being murdered are 1 in 100,000) and correct for the simple fact that a larger population should have more crimes. Unfortunately, many cybersecurity metrics tend to be uncorrected counts of malicious phenomena such as the number of phishing websites. While normalisation cannot make bad measures good, a failure to normalise even the best cybersecurity metrics can lead to bias. A failure to normalise count statistics around the size of the ecosystem, sensor density or risk mitigation personnel has implications for the observed trends, often making the state of cybersecurity seem worse than it actually is. In short, normalisation of malicious count data is a crucial measurement step and has significant impacts for both firm- and economy-wide risk management strategies and policy assessment.

Suggested Citation

  • Eric Jardine, 2018. "Mind the denominator: towards a more effective measurement system for cybersecurity," Journal of Cyber Policy, Taylor & Francis Journals, vol. 3(1), pages 116-139, January.
    • Handle: RePEc:taf:rcybxx:v:3:y:2018:i:1:p:116-139
    DOI: 10.1080/23738871.2018.1472288
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    Cited by:

    1. Jardine, Eric & Porter, Nathaniel D, 2020. "Pick Your Poison: The Attribution Paradox in Cyberwar," SocArXiv etb72, Center for Open Science.
    2. Eric Jardine, 2020. "The Case against Commercial Antivirus Software: Risk Homeostasis and Information Problems in Cybersecurity," Risk Analysis, John Wiley & Sons, vol. 40(8), pages 1571-1588, August.

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