Information Segmentation and Investing in Cybersecurity
Lawrence A. Gordon, Martin P. Loeb, Lei Zhou · Journal of Information Security · 2021
This paper provides an analysis of how the benefits of information segmentation can assist an organization to derive the appropriate amount to invest in cybersecurity from a cost-benefit perspective. An analytical model based on the framework of the Gordon-Loeb Model ([1]) is presented that provides a set of sufficient conditions for information segmentation to lower the total investments in cybersecurity and the expected loss from cybersecurity breaches. A numerical example illustrating the insights gained from the model is also presented.