Intelligent touch based user authentication

• Autorzy: Mazur D. , Tybura M.
• Języki publikacji: EN

Abstrakty

EN

Many researches had shown that touch based authentication is something possible to implement in many devices. This research focuses mainly on making a progress in this field by using more advanced methods such as SVM, kNN, kmeans or neural networks in attempt to build system for both recognizing and learning user’s behavior.

Słowa kluczowe

EN

touch; mobile; authentication; authorization; SVM; kNN; kmeans; neural networks

• Wydawca: Wydawnictwo PAK
• Czasopismo: Measurement Automation Monitoring
• Rocznik: 2017
• Tom: Vol. 63, No. 1
• Strony: 20--23
• Opis fizyczny: Bibliogr. 6 poz., rys., tab.

Twórcy

autor

Mazur D.

• Department of Electrical and Computer Fundamentals, Rzeszow University of Technology, 2 W. Pola St., 35-959 Rzeszow, Poland

autor

Tybura M.

• Students Scientific Circle of Information Technology, 2 W. Pola St., 35-959 Rzeszow, Poland

Bibliografia

• [1] Tybura M., Szczepański A.: Touch screen based user identification, MAM, 12/2015.
• [2] Bevan C., Fraser D. S.: Different strokes for different folks? Revealing the physical characteristics of smartphone users from their swipe gesture, International Journal of Human-Computer Studies, vol. 88, 2016, pp. 51-61.
• [3] Lin C., Chang C., Liang D.: A novel Nonintrusive User Authentication Method Based on Touch Gestures for Smartphones, Journal Of Internet Technology, vol. 16, issue 5, 2015, pp. 801-810.
• [4] Yamaba H., Nagatomo S., Aburada K., Kubota S., Katayama T., Park M., Okazaki N.: An Authentication Method Independent of Tap Operation on the Touchscreen of a Mobile Device, Journal of Robotics Networking and Artifical Life, vol. 2, issue 1, 2015, pp. 60-63.
• [5] Liu C. L., Tsai C. J., Chang T. Y., Tsai W. J., Zhong P. K.: Implementing multiple biometric features for a recall-based graphical keystroke dynamics authentication system on smart phone, Journal of Network and Compture Applications, vol. 53, 2015, pp. 128-139.
• [6] Boyce J., Shapiro J. R. and Tidrow R.: Windows 8.1 Bible, ISBN 13: 9781118835319, Wiley, 2014.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).