Fingerprint and Iris Template Protection for Health Information System Access and Security

Healthcare and other mobile based applications require a certain level of trust, privacy and security, especially when it comes to authentication of a user, let it be a medical professional or patient. Biometric based authentication offers several advantages over other methods such as passwords and ID cards. There has been a major development and usage of biometrics in recent years. The importance of individual verification is advancing along with the advancement of mobile and health information systems. Biometrics play a huge part in the field of authentication and access control. Biometrics such as face, fingerprints and iris recognition have shown more efficiency in identification of individuals. However, biometric authentication systems must withstand attacks especially in unattended remote applications such as e-health. In this paper, we will focus on template database attacks which includes attacks on the integrity of biometric templates by presenting a new approach using both chaos and Hadamard matrices. Although a considerable amount of work was conducted on protecting biometric templates, the proposed approaches in the literature do not satisfy the main requirements of security, performance, diversity and revocability. However, our approach contributes better results in case of recognition rate i.e., 100 percent, zero percent false rejection rate and false acceptance rate and satisfies the requirements of revocability, diversity and privacy. The proposed approach provides for the effective protection of systems and realization of a secure biometric template protection system especially for health information systems where the privacy and security of a patient are very critical.