Smartwatches have been seen as the next generation personal devices, after smartphones, due to their use for wide range of applications, e.g., communication, financial applications, social networking, and fitness tracking, etc. These applications generate and store a lot of personal and private data which needs to be protected from unauthorized access. Several authentication schemes based on PIN/password, graphical password have been proposed, however, it is quite difficult to enter or sketch them because of small smartwatch screen. In addition, these schemes still suffer from unsolved security issues. In this paper, we present a novel movement-based behavioral biometric authentication solution for smartwatch, namely, Airsign. Airsign requires smartwatch worn user to write her name in the air. Airsign leverages the arm-movements while the user swings her finger in the air during the process of writing her name. More specifically, Airsign generates arm-movement fingerprint to profile and identify the user. We implemented and evaluated our scheme on Motorola Moto 3G smartwatch. We applied Dynamic Time Warping (DTW), in two settings, and One-class Multilayer Perceptron (OMLP) as classifiers. Airsign has the potential to replace the traditional authentication schemes and be accepted by users.

AirSign: A Gesture-Based Smartwatch User Authentication / Buriro, Attaullah; Van Acker, Rutger; Crispo, Bruno; Mahboob, Athar. - STAMPA. - (2018), pp. 1-5. (Intervento presentato al convegno 52nd Annual IEEE International Carnahan Conference on Security Technology, ICCST 2018 tenutosi a Montreal, QC, Canada nel 22nd-25th October 2018) [10.1109/CCST.2018.8585571].

AirSign: A Gesture-Based Smartwatch User Authentication

Buriro, Attaullah;Crispo, Bruno;
2018-01-01

Abstract

Smartwatches have been seen as the next generation personal devices, after smartphones, due to their use for wide range of applications, e.g., communication, financial applications, social networking, and fitness tracking, etc. These applications generate and store a lot of personal and private data which needs to be protected from unauthorized access. Several authentication schemes based on PIN/password, graphical password have been proposed, however, it is quite difficult to enter or sketch them because of small smartwatch screen. In addition, these schemes still suffer from unsolved security issues. In this paper, we present a novel movement-based behavioral biometric authentication solution for smartwatch, namely, Airsign. Airsign requires smartwatch worn user to write her name in the air. Airsign leverages the arm-movements while the user swings her finger in the air during the process of writing her name. More specifically, Airsign generates arm-movement fingerprint to profile and identify the user. We implemented and evaluated our scheme on Motorola Moto 3G smartwatch. We applied Dynamic Time Warping (DTW), in two settings, and One-class Multilayer Perceptron (OMLP) as classifiers. Airsign has the potential to replace the traditional authentication schemes and be accepted by users.
2018
2018 International Carnahan Conference on Security Technology, ICCST
Piscataway, NJ
Institute of Electrical and Electronics Engineers Inc.
9781538679319
9781538679302
Buriro, Attaullah; Van Acker, Rutger; Crispo, Bruno; Mahboob, Athar
AirSign: A Gesture-Based Smartwatch User Authentication / Buriro, Attaullah; Van Acker, Rutger; Crispo, Bruno; Mahboob, Athar. - STAMPA. - (2018), pp. 1-5. (Intervento presentato al convegno 52nd Annual IEEE International Carnahan Conference on Security Technology, ICCST 2018 tenutosi a Montreal, QC, Canada nel 22nd-25th October 2018) [10.1109/CCST.2018.8585571].
File in questo prodotto:
File Dimensione Formato  
08585571.pdf

Solo gestori archivio

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 327.76 kB
Formato Adobe PDF
327.76 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/232598
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 22
  • ???jsp.display-item.citation.isi??? 15
social impact