M-Score and K-Anonymity: A Model for Detection And Protection of Data

Abstract--Conversely, limiting access to the information in the interests of preserving secrecy might damage their ability to implement the actions that can best serve the organization. Therefore, data leakage and data misuse detection mechanisms are essential in identifying malicious insiders. One of the emerging concept in micro data protection is kanonymity, which has been recently proposed as an property that captures the protection of a micro data table with respect to possible re-identification of the respondents to which the data refer. we present a new concept, m-score :A Misuseability Weight, which assigns a sensitivity score to datasets, there by imagine the level of harm that might be inflicted upon the organization when the data is leaked.