Exploratory Use of PPG Signal in Continuous Authentication
Resumo
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 aim of this work is to evaluate the use of the Photoplethysmographic Signal (PPG) in continuous authentication and identify the requirements of the system that should be used to record and process the signal. Different types of sensors, sampling rates, and analog to digital conversion resolutions were tested in order to identify the configuration that best suits the application requirements. The algorithms used for processing the PPG signal as well as the size of the samples used in the authentication process were also analyzed during the experiments. In order to achieve the set objective, a dataset of PPG signals was developed since it was not possible to find open datasets with long term monitoring samples of individuals.Referências
Biel, L., Pettersson, O., Philipson, L., & Wide, P. (2001). ECG analysis: a new approach in human identification. Instrumentation and Measurement, IEEE Transactions on, 50(3), 808-812. doi: 10.1109/19.930458
Bonissi, A., Labati, R. D., Perico, L., Sassi, R., Scotti, F., & Sparagino, L. (2013, 9-9 Sept. 2013). A preliminary study on continuous authentication methods for photoplethysmographic biometrics. Paper presented at the Biometric Measurements and Systems for Security and Medical Applications (BIOMS), 2013 IEEE Workshop on.
Brocardo, M. L., Traore, I., & Woungang, I. (2014). Authorship verification of e-mail and tweet messages applied for continuous authentication. Journal of Computer and System Sciences.
Coutinho, D. P., Fred, A. L. N., & Figueiredo, M. A. T. (2011). ECG-based Continuous Authentication System using Adaptive String Matching. Paper presented at the BIOSIGNALS 2011 - International Conference on Bio-inspired Systems and Signal Processing, Rome.
Elgendi, M. (2012). On the Analysis of Fingertip Photoplethysmogram Signals. Current Cardiology Reviews, 8(1), 12. doi: 10.2174/157340312801215782
Ghogare, S. D., Jadhav, S. P., Chadha, A. R., & Patil, H. C. (2012). Location Based Authentication: A New Approach towards Providing Security International Journal of Scientific and Research Publications, 2(4), 5.
Guennoun, M., Abbad, N., Talom, J., Rahman, M., & El-Khatib, K. (2009, 26-27 Sept. 2009). Continuous authentication by electrocardiogram data. Paper presented at the Science and Technology for Humanity (TIC-STH), 2009 IEEE Toronto International Conference.
Haque, A. K. M. F., Ali, M. H., Kiber, M. A., & Hasan, M. T. (2009). DETECTION OF SMALL VARIATIONS OF ECG FEATURES USING WAVELET ARPN Journal of Engineering and Applied Sciences, 4(6), 4.
Hyun-Min, L., Dong-Jun, K., Heui-Kyung, Y., Kyeong-Seop, K., Jeong-Whan, L., Eun-Jong, C., & Kyung-Ah, K. (2009, 16-19 March 2009). Human Sensibility Evaluation Using Photoplethysmogram (PPG). Paper presented at the Complex, Intelligent and Software Intensive Systems, 2009. CISIS '09. International Conference on.
Islam, M. K., Haque, A. N. M. M., Tangim, G., Ahammad, T., & Khondokar, M. R. H. (2012). Study and Analysis of ECG Signal Using MATLAB & LABVIEW as Effective Tools. International Journal of Computer and Electrical Engineering, 4(3), 5. doi: 10.7763/IJCEE.2012.V4.522
Jianchu, Y., Xiaodong, S., & Yongbo, W. (2007, 22-26 Aug. 2007). A Pilot Study on Using Derivatives of Photoplethysmographic Signals as a Biometric Identifier. Paper presented at the Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE.
Labati, R. D., Sassi, R., & Scotti, F. (2013, 18-21 Nov. 2013). ECG biometric recognition: Permanence analysis of QRS signals for 24 hours continuous authentication. Paper presented at the Information Forensics and Security (WIFS), 2013 IEEE International Workshop on.
Lin, J., Keogh, E., Lonardi, S., & Patel, P. (2002). Finding Motifs in Time Series. Paper presented at the 2nd Workshop on Temporal Data Mining, at the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Edmonton,Alberta,CA.
Singh, Y. N., & Singh, S. K. (2012). Evaluation of Electrocardiogram for Biometric Authentication. Journal of Information Security, 3(1), 11. doi: 10.4236/jis.2012.31005
Traore, I., & Ahmed, A. A. E. (2011). Continuous Authentication Using Biometrics: Data, Models, and Metrics (A. A. E. Ahmed Ed.): IGI Global.
Bonissi, A., Labati, R. D., Perico, L., Sassi, R., Scotti, F., & Sparagino, L. (2013, 9-9 Sept. 2013). A preliminary study on continuous authentication methods for photoplethysmographic biometrics. Paper presented at the Biometric Measurements and Systems for Security and Medical Applications (BIOMS), 2013 IEEE Workshop on.
Brocardo, M. L., Traore, I., & Woungang, I. (2014). Authorship verification of e-mail and tweet messages applied for continuous authentication. Journal of Computer and System Sciences.
Coutinho, D. P., Fred, A. L. N., & Figueiredo, M. A. T. (2011). ECG-based Continuous Authentication System using Adaptive String Matching. Paper presented at the BIOSIGNALS 2011 - International Conference on Bio-inspired Systems and Signal Processing, Rome.
Elgendi, M. (2012). On the Analysis of Fingertip Photoplethysmogram Signals. Current Cardiology Reviews, 8(1), 12. doi: 10.2174/157340312801215782
Ghogare, S. D., Jadhav, S. P., Chadha, A. R., & Patil, H. C. (2012). Location Based Authentication: A New Approach towards Providing Security International Journal of Scientific and Research Publications, 2(4), 5.
Guennoun, M., Abbad, N., Talom, J., Rahman, M., & El-Khatib, K. (2009, 26-27 Sept. 2009). Continuous authentication by electrocardiogram data. Paper presented at the Science and Technology for Humanity (TIC-STH), 2009 IEEE Toronto International Conference.
Haque, A. K. M. F., Ali, M. H., Kiber, M. A., & Hasan, M. T. (2009). DETECTION OF SMALL VARIATIONS OF ECG FEATURES USING WAVELET ARPN Journal of Engineering and Applied Sciences, 4(6), 4.
Hyun-Min, L., Dong-Jun, K., Heui-Kyung, Y., Kyeong-Seop, K., Jeong-Whan, L., Eun-Jong, C., & Kyung-Ah, K. (2009, 16-19 March 2009). Human Sensibility Evaluation Using Photoplethysmogram (PPG). Paper presented at the Complex, Intelligent and Software Intensive Systems, 2009. CISIS '09. International Conference on.
Islam, M. K., Haque, A. N. M. M., Tangim, G., Ahammad, T., & Khondokar, M. R. H. (2012). Study and Analysis of ECG Signal Using MATLAB & LABVIEW as Effective Tools. International Journal of Computer and Electrical Engineering, 4(3), 5. doi: 10.7763/IJCEE.2012.V4.522
Jianchu, Y., Xiaodong, S., & Yongbo, W. (2007, 22-26 Aug. 2007). A Pilot Study on Using Derivatives of Photoplethysmographic Signals as a Biometric Identifier. Paper presented at the Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE.
Labati, R. D., Sassi, R., & Scotti, F. (2013, 18-21 Nov. 2013). ECG biometric recognition: Permanence analysis of QRS signals for 24 hours continuous authentication. Paper presented at the Information Forensics and Security (WIFS), 2013 IEEE International Workshop on.
Lin, J., Keogh, E., Lonardi, S., & Patel, P. (2002). Finding Motifs in Time Series. Paper presented at the 2nd Workshop on Temporal Data Mining, at the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Edmonton,Alberta,CA.
Singh, Y. N., & Singh, S. K. (2012). Evaluation of Electrocardiogram for Biometric Authentication. Journal of Information Security, 3(1), 11. doi: 10.4236/jis.2012.31005
Traore, I., & Ahmed, A. A. E. (2011). Continuous Authentication Using Biometrics: Data, Models, and Metrics (A. A. E. Ahmed Ed.): IGI Global.
Publicado
09/11/2015
Como Citar
DIAS, Júlio da Silva; TRAORE, Issa; FERREIRA, Vitor G. R. A.; ARDIGO, Julibio David; DE ROLT, Carlos Roberto.
Exploratory Use of PPG Signal in Continuous Authentication. In: SIMPÓSIO BRASILEIRO DE SEGURANÇA DA INFORMAÇÃO E DE SISTEMAS COMPUTACIONAIS (SBSEG), 15. , 2015, Florianópolis.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2015
.
p. 142-155.
DOI: https://doi.org/10.5753/sbseg.2015.20091.