A novel wavelet packet-based anti-spoofing technique to secure ECG data

Authors:
Fahim Sufi;Seedahmed Mahmoud;Ibrahim Khalil
Affiliations:
Science, Engineering and Technology Portfolio, RMIT University, 330 Swanston St., Melbourne, VIC-3000, Australia.;Science, Engineering and Technology Portfolio, RMIT University, 330 Swanston St., Melbourne, VIC-3000, Australia.;Science, Engineering and Technology Portfolio, RMIT University, 330 Swanston St., Melbourne, VIC-3000, Australia
Venue:
International Journal of Biometrics
Year:
2008

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Abstract

Research related to ECG based biometric authentication isrecently gaining popularity. However, there is substantial lack ofresearch in anti-spoofing measurement to protect ECG recognitiondata from being captured in the wrong hands, where it might besubject to replay attack. Anonymisation of ECG data not onlyprotects this valuable biometric data from being utilised forunauthorised access to restricted facility, but also hides majorcardiovascular details of a particular person upholding HIPAAregulations. This paper proposes a novel ECG anonymisationtechnique based on wavelet packets. It was proven to provide 100%anonymisation, showing robustness against replay attack by thespoofer. Even with the most recent available technology, theanonymised ECG remained totally unidentified. A key, which is only5.8% of the original ECG, is securely distributed to the authorisedpersonnel for reconstruction of the original ECG.