I know it's still you: A study of using the PPG sensor to support zero re-authentications
Authors: 
Tanushree Banerjee, Kartik Muralidharan, Dibyanshu Jaiswal, Mithun Basaralu Sheshachala, Ramesh Kumar Ramakrishnan, 
Arpan PalAuthors Info & Claims
Tanushree Banerjee, Kartik Muralidharan, Dibyanshu Jaiswal, Mithun Basaralu Sheshachala, Ramesh Kumar Ramakrishnan, Arpan PalAuthors Info & ClaimsPages 24 - 29
Abstract
The Photoplethysmogram (PPG) sensor is found in most smart wearables and fitness trackers to support the physical wellness monitoring of it's user. The popularity of this sensor has encouraged the exploration of it's use in other domains particularly in the field of banking, education, training, wellness etc. as a form of biometric authentication. These studies are however limited in the evaluation of the sensor in the wild. We created several datasets of continuous in-the-wild PPG across multiple participants and devices and propose the use of different statistical, signal processing and machine learning based techniques to support zero re-authentications using in-situ PPG data.
References
[1]
2013. E4 wristband Real-time physiological data streaming and visualization. https://www.empatica.com/en-eu/research/e4/ Accessed: 2021-05-20.
[2]
2015. HP Study Reveals Smartwatches Vulnerable to Attack. https://www.securityweek.com/all-smartwatches-vulnerable-attack-hp-study Accessed: 2021-05-20.
[3]
2018. How to use Smart Lock to unlock your phone automatically. https://www.androidcentral.com/smart-lock Accessed: 2021-05-20.
[4]
2021. Make purchases easy with Fitbit Pay. https://www.fitbit.com/in/fitbit-pay Accessed: 2021-05-20.
[5]
2021. Samsung Gear S3. https://www.samsung.com/global/galaxy/gear-s3/experience/ Accessed: 2021-05-20.
[6]
Felton Blow, Yen-Hung Hu, and Mary Hoppa. 2020. A Study on Vulnerabilities and Threats to Wearable Devices. In Journal of The Colloquium for Information Systems Security Education, Vol. 7. 7--7.
[7]
Anirban Dutta Choudhury, Aditi Misra, Arpan Pal, Rohan Banerjee, Avik Ghose, and Aishwarya Visvanathan. 2014. Heartsense: Estimating heart rate from smartphone photoplethysmogram using adaptive filter and interpolation. In International Internet of Things Summit. Springer, 203--209.
[8]
Alotaiby et al. 2020. A Nonfiducial PPG-Based Subject Authentication Approach Using the Statistical Features of DWT-Based Filtered Signals. Journal of Sensors 2020 (2020).
[9]
Bonissi et al. 2013. A preliminary study on continuous authentication methods for photoplethysmographic biometrics. In 2013 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications. IEEE, 28--33.
[10]
Karimian et al. 2017. Human recognition from photoplethysmography (ppg) based on non-fiducial features. In ICASSP. IEEE, 4636--4640.
[11]
Lee et al. 2019. Wearable Bio-Signal (PPG)-Based Personal Authentication Method Using Random Forest and Period Setting Considering the Feature of PPG Signals. JCP 14, 4 (2019), 283--294.
[12]
Spachos et al. 2011. Feasibility study of photoplethysmographic signals for biometric identification. In 2011 17th International Conference on Digital Signal Processing(DSP). IEEE, 1--5.
[13]
Sarkar et al. 2016. Biometric authentication using photoplethysmography signals. In BTAS. IEEE, 1--7.
[14]
Sancho et al. 2018. Biometric authentication using the PPG: along-term feasibility study. Sensors 18, 5 (2018), 1525.
[15]
Yadav et al. 2018. Evaluation of PPG biometrics for authentication in different states. In 2018 International Conference on Biometrics (ICB). IEEE, 277--282.
[16]
Zhao et al. 2020. Trueheart: Continuous authentication on wrist-worn wearables using ppg-based biometrics. In IEEE INFOCOM 2020-IEEE Conference on Computer Communications. IEEE, 30--39.
[17]
Anthony Lee and Younghyun Kim. 2015. Photoplethysmography as a form of biometric authentication. In 2015 IEEE SENSORS. IEEE, 1--2.
[18]
D. N Reshef and et al. 2011. Detecting novel associations in large data sets. science (2011).
[19]
Chi Zhang, Hossain Shahriar, and ABM Kamrul Riad. 2020. Security and Privacy Analysis of Wearable Health Device. In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 1767--1772.
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- I know it's still you: A study of using the PPG sensor to support zero re-authentications
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Published In
June 2021
39 pages
ISBN:9781450386005
DOI:10.1145/3469260
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Published: 29 June 2021
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MobiSys '21
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MobiSys '21: The 19th Annual International Conference on Mobile Systems, Applications, and Services
June 24, 2021
WI, Virtual, USA
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Overall Acceptance Rate 9 of 11 submissions, 82%
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