Privacy Protection in Biometric-Based Recognition Systems: A marriage between cryptography and signal processing

Autor: Riccardo Lazzeretti, Mauro Barni, Giulia Droandi
Rok vydání: 2015
Předmět:
Zdroj: IEEE Signal Processing Magazine. 32:66-76
ISSN: 1053-5888
DOI: 10.1109/msp.2015.2438131
Popis: Systems employing biometric traits for people authentication and identification are witnessing growing popularity due to the unique and indissoluble link between any individual and his/her biometric characters. For this reason, biometric templates are increasingly used for border monitoring, access control, membership verification, and so on. When employed to replace passwords, biometrics have the added advantage that they do not need to be memorized and are relatively hard to steal. Nonetheless, unlike conventional security mechanisms such as passwords, biometric data are inherent parts of a person?s body and cannot be replaced if they are compromised. Even worse, compromised biometric data can be used to have access to sensitive information and to impersonate the victim for malicious purposes. For the same reason, biometric leakage in a given system can seriously jeopardize the security of other systems based on the same biometrics. A further problem associated with the use of biometric traits is that, due to their uniqueness, the privacy of their owner is put at risk. Geographical position, movements, habits, and even personal beliefs can be tracked by observing when and where the biometric traits of an individual are used to identify him/her.
Databáze: OpenAIRE