Privacy Protection in Biometric-Based Recognition Systems: A marriage between cryptography and signal processing
Autor: | Riccardo Lazzeretti, Mauro Barni, Giulia Droandi |
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Rok vydání: | 2015 |
Předmět: |
Biometrics
Computer science Data_MISCELLANEOUS Internet privacy homomorphic encryption garbled circuits Encryption Access control Cryptography Computer security computer.software_genre biometric protection Signal Processing in the encrypted domain Electrical and Electronic Engineering Password Authentication business.industry Complexity theory Applied Mathematics Logic gates Privacy Complexity theory Biometrics (access control) Encryption Logic gates Feature extraction Identification (information) Information sensitivity Privacy Signal Processing Feature extraction Biometrics (access control) business computer |
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 |
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