[go: up one dir, main page]

da Silva Dias et al., 2015 - Google Patents

Exploratory use of PPG signal in continuous authentication

da Silva Dias et al., 2015

View PDF
Document ID
16900391918349932099
Author
da Silva Dias J
Traore I
Ferreira V
Ardigo J
De Rolt C
Publication year
Publication venue
Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg)

External Links

Snippet

One-time or static authentication is not sufficient in many applications and continuous authentication methods can provide a way to increase security in situations where an application could be compromised or misused after statically authenticating the user. The …
Continue reading at sol.sbc.org.br (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/34—User authentication involving the use of external additional devices, e.g. dongles or smart cards

Similar Documents

Publication Publication Date Title
Ingale et al. Ecg biometric authentication: A comparative analysis
Abdeldayem et al. A novel approach for ECG-based human identification using spectral correlation and deep learning
CA2835460C (en) System and method for enabling continuous or instantaneous identity recognition based on physiological biometric signals
Wieclaw et al. Biometrie identification from raw ECG signal using deep learning techniques
Belgacem et al. A novel biometric authentication approach using ECG and EMG signals
Abdeldayem et al. ECG-based human authentication using high-level spectro-temporal signal features
Agrafioti et al. Heart biometrics: Theory, methods and applications
Dar et al. ECG based biometric identification for population with normal and cardiac anomalies using hybrid HRV and DWT features
JP2010504793A (en) Template synthesis for ECG / PPG based biometrics
Akhter et al. Heart-based biometrics and possible use of heart rate variability in biometric recognition systems
Hosseinzadeh et al. Electrocardiogram signals-based user authentication systems using soft computing techniques
Sasikala et al. Identification of individuals using electrocardiogram
Mitchell et al. Electrocardiogram-based biometrics for user identification–Using your heartbeat as a digital key.
Tan et al. ECG biometric identification using wavelet analysis coupled with probabilistic random forest
Agrafioti et al. Secure telemedicine: Biometrics for remote and continuous patient verification
Fratini et al. Individual identification using electrocardiogram morphology
Shahid et al. A survey on AI-based ECG, PPG, and PCG signals based biometric authentication system
Guo et al. Ballistocardiogram-based person identification using correlation analysis
da Silva Dias et al. Exploratory use of PPG signal in continuous authentication
Ramli et al. Electrocardiogram (ECG) signals as biometrics in securing wireless body area network
Akhter et al. Heart rate variability for biometric authentication using time-domain features
Pathoumvanh et al. ECG analysis for person identification
Israel et al. The heartbeat: the living biometric
Krish et al. Biosignal authentication considered harmful today
Amiruddin et al. Performance evaluation of human identification based on ECG signal