A Review of Malicious Altering Healthcare Imagery using Artificial Intelligence

Abstract

During the second half of 2020, healthcare is and has been the number one target for cybercrime, enormous amount of cyberattacks on hospitals and health systems increased, and specialists trust there are more to come. Attackers who can get the way to reach the electronic health record would exploit it and will use it for their own interest like deal or vend it on the underground economy, hostage the systems and the sensitive data, that has a significant impact on operations. This review tried to analyze how cyber attacker employ Generative Adversarial Networks (GANs) to alter the evidences of patient's medical conditions from image scans and reports. Cyber attacker has different purposes in order to obstruct a political applicant, lockup investigations, obligate insurance scam, execute an act of violence, or even commit homicide. Numerous correlated works constructed on gan in medical images practices had been reviews in the period between 2000 to 2021. Many papers showed how hospital system, physicians and radiology's specialists and the most recent researches showed an extremely exposed to different types of intrusion gan attacks.