This document introduces the concept of misuseability weight, aimed at assessing the risk of data leakage and misuse by insiders with legitimate access to organizational systems. It proposes the m-score to quantify this risk based on the sensitivity of exposed data and discusses its application in various leakage scenarios. Additionally, it addresses the challenges of obtaining expert knowledge necessary for implementing this measure.

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M-Score: A Misuseability Weight Measure
Abstract—
Detecting and preventing data leakage and data misuse poses a serious
challenge for organizations, especially when dealing with insiders with legitimate
permissions to access the organization's systems and its critical data. In this paper,
we present a new concept, Misuseability Weight, for estimating the risk emanating
from data exposed to insiders. This concept focuses on assigning a score that
represents the sensitivity level of the data exposed to the user and by that predicts
the ability of the user to maliciously exploit this data. Then, we propose a new
measure, the M-score, which assigns a misuseability weight to tabular data, discuss
some of its properties, and demonstrate its usefulness in several leakage scenarios.
One of the main challenges in applying the M-score measure is in acquiring the
required knowledge from a domain expert. Therefore, we present and evaluate two
approaches toward eliciting misuseability conceptions from the domain expert.
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