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Modeling Identity Disclosure Risk Estimation Using Kenyan Situation, Peter N. Muturi, Andrew M. Kahonge, Christopher K. Chepken, Evans K. Miriti

The African Journal of Information Systems

Identity disclosure risk is an essential consideration in data anonymization aimed at preserving privacy and utility. The risk is regionally dependent. Therefore, there is a need for a regional empirical approach in addition to a theoretical approach in modeling disclosure risk estimation. Reviewed literature pointed to three influencers of the risk. However, we did not find literature on the combined effects of the three influencers and their predictive power. To fill the gap, this study modeled the risk estimation predicated on the combined effect of the three predictors using the Kenyan situation. The study validated the model by conducting an …