ECG biometrie template protection based on secure sketch scheme
| Autor: | Emna Kalai Zaghouani, Rabah Attia, Adel Benzina |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Scheme (programming language)
021110 strategic defence & security studies Biometrics Computer science business.industry Acceptance rate Feature extraction 0211 other engineering and technologies 020206 networking & telecommunications Cryptography 02 engineering and technology computer.software_genre Sketch Identification (information) ComputingMethodologies_PATTERNRECOGNITION 0202 electrical engineering electronic engineering information engineering Discrete cosine transform ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS cardiovascular diseases Data mining business computer computer.programming_language |
| Zdroj: | SoftCOM |
| DOI: | 10.23919/softcom.2017.8115526 |
| Popis: | ElectroCardioGram ECG biometrics has recently been identified as a promising technique to identify subjects. Meanwhile, as ECG related data can reveal other factors like medical disease, the protection of the ECG biometric template is mandatory. The challenge is to guaranty the privacy of the ECG data, while keeping adequate performance results in terms of false acceptance rate and false rejection rate in subject identification. In this work, the focus will be on designing and assessing a secure sketch scheme for protecting ECG template. We show that the proposed scheme preserves the identification performances of the unprotected system while maintaining an acceptable identification speed compared with the fuzzy commitment scheme. Performance evaluation of the investigated method is reported using data from the physionet database. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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