Researchers in biomedical informatics have shown that game theory is the best method of predicting hackers’ movements.
What to be aware of:
Although publicly available biomedical data allows important research projects like COVID’s National COVID Collaborative and Personal Genome Project possible it isn’t always easy to protect personal privacy.
Although many programs are able to hide personal information from medical records it is possible to track the identities of patients using other sources such as public genealogy databases or demographic data online.
Researchers from the Center for Genetic Privacy and Identity in Community Settings developed an activity that can help minimize risks. The goal is to simulate the maximum amount data that can be shared, while minimising risk.
Two-player game that simulates interactions between a data subject (or user) and malicious user (or user). It is built on game theory and demonstrates how a data subject might share information with an unintentional user. The malicious user may then attempt to get it. They will assess their own capabilities against the possibility of financial losses.
Based on a game-based approach, researchers hope to provide the most realistic scenarios of biomedical data breaches in order to determine the optimal strategy that both secures privacy while also providing data to the public to further research.
This is a brief summary of the article “The Best Way To Protect Personal Biomedical Information From Hackers is to approach the Problem like a Game,” published December 16th by The Conversation. The full article is available at theconversation.com.
Content Source: https://www.medscape.com/viewarticle/965068?src=rss