Smartwatch Dynamics: A Novel Modality and Solution to Attacks on Cyber-behavioral Biometrics for Continuous Verification?
| Autor: | Jarin Musarrat, Noor Alam, Anusha Madarapu, Khandaker Abir Rahman, Shafaeat Hossain |
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| Rok vydání: | 2020 |
| Předmět: |
021110 strategic
defence & security studies Modality (human–computer interaction) User profile Biometrics Property (programming) Computer science business.industry Feature extraction 0211 other engineering and technologies 020206 networking & telecommunications 02 engineering and technology Machine learning computer.software_genre Smartwatch Keystroke dynamics 0202 electrical engineering electronic engineering information engineering Pattern matching Artificial intelligence business computer |
| Zdroj: | ISNCC |
| Popis: | The cyber-behavioral biometric modalities such as keystroke dynamics, mouse dynamics, and touch screen dynamics have come under attacks of different forms in recent days. To address these attacks and other security issues, we present a novel concept of using smartwatch sensor data to continuously verify users in cyberspace and show its potential to be a new standalone cyber-behavioral biometric modality. For our experiments, smartwatch gyroscope and accelerometer data collected from 49 subjects while typing in desktop computer have been considered. We implemented six pattern matching classifiers to compare each verification attempt against the user profile. Experimental results comprising of 282,240 classification attempts show significantly high True Positive (TP) rates and extremely low False Positive (FP) rates with the highest achieved TP rate of 87.2% and lowest FP rate of 0.2%. With this level of accuracy and natural resiliency to attacks comes with physical biometric property as such in hand movement, we opine that smartwatch movement dynamics, besides being a new biometric trait, can be a solution to the security loopholes in existing cyber-behavioral biometric modalities for continuous verification. |
| Databáze: | OpenAIRE |
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