Randomized Mouse Movement for Behavioural Biometric Identification

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internalnotes [1] F Monrose, and A.D Rubin, “Keystroke Dynamics as a Biometric for Authentication,” Future Generations Computing System, 16(4), 2000, pp. 351-359. [2] A.K. Jain, A. Ross, and S. Prabhakar, “An introduction to biometric recognition,” IEEE Transactions on Circuits and Systems for Video Technology, 14(1), 2004, pp. 4- 20. [3] A.A.E. Ahmed and I. Traore, “Detecting computer intrusions using behavioural biometrics,” in 3rd Annual Conference on Provacy, Security and Trust, New Brunswick, Canada: ISOT, 12-14 October 2005, pp. 91-98. [4] A. Yannopoulos, V. Andronikou, and T. Varvarigou, “Behavioural biometric profiling and ambient intelligence,” in M. Hildebrandt and S. Gutwirth, (Ed.), Profiling the European Citizen, Springer Netherlands, 2008, pp. 89-109. [5] R.V. Yampolskiy and V. Govindaraju, “Behavioural biometrics: A survey and classification,” International Journal of Biometrics. 1(1), 2008, pp. 81-113. [6] K. Hayashi, E. Okamoto, and M. Mambo, “Proposal of User Identification Scheme Using Mouse,” in Information and Communications Security, Springer Berlin, 1997, pp. 144-148. [7] Y. Aksari and H. Artuner, “Active authentication by mouse movements,” in 24th International Symposium on Computer and Information Sciences, 14-16 September 2009, North Cyprus:IEEE, pp. 571-574. [8] M. Wolff, “Behavioral biometric identification on mobile devices," in Foundations of Augmented Cognition. Springer Berlin Heidelberg, 2013, pp. 783-791. [9] P. Kasprowski, “Human Identification Using Eye Movements,” Doctoral Thesis, 2004, Silesian University of Technology, Poland.
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spelling 7987 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=7987 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal application/pdf 6 1.6 Adobe Acrobat Pro DC 20 Paper Capture Plug-in 2013-10-03 14:49:39 3815-01-FH02-FIK-14-00482.pdf UniSZA Private Access Randomized Mouse Movement for Behavioural Biometric Identification International Journal of Interactive Digital Media (IJIDM) A biometric system consists of pattern-recognition system that recognizes a person based on either physiological or behavioral characteristics. This system can be used either to identify or verify a user. In this paper, we proposed a behavioral biometric system that used random mouse movement to identify a user. We developed an application and tested it with five users. The experiment produced 14 matching or equal to 46.67% of successful matching. The experiments are done to observe the human actions under unpredictable situation because in real life, human acts are depending on their mood, stress or the surrounding environment. 1 52-57 [1] F Monrose, and A.D Rubin, “Keystroke Dynamics as a Biometric for Authentication,” Future Generations Computing System, 16(4), 2000, pp. 351-359. [2] A.K. Jain, A. Ross, and S. Prabhakar, “An introduction to biometric recognition,” IEEE Transactions on Circuits and Systems for Video Technology, 14(1), 2004, pp. 4- 20. [3] A.A.E. Ahmed and I. Traore, “Detecting computer intrusions using behavioural biometrics,” in 3rd Annual Conference on Provacy, Security and Trust, New Brunswick, Canada: ISOT, 12-14 October 2005, pp. 91-98. [4] A. Yannopoulos, V. Andronikou, and T. Varvarigou, “Behavioural biometric profiling and ambient intelligence,” in M. Hildebrandt and S. Gutwirth, (Ed.), Profiling the European Citizen, Springer Netherlands, 2008, pp. 89-109. [5] R.V. Yampolskiy and V. Govindaraju, “Behavioural biometrics: A survey and classification,” International Journal of Biometrics. 1(1), 2008, pp. 81-113. [6] K. Hayashi, E. Okamoto, and M. Mambo, “Proposal of User Identification Scheme Using Mouse,” in Information and Communications Security, Springer Berlin, 1997, pp. 144-148. [7] Y. Aksari and H. Artuner, “Active authentication by mouse movements,” in 24th International Symposium on Computer and Information Sciences, 14-16 September 2009, North Cyprus:IEEE, pp. 571-574. [8] M. Wolff, “Behavioral biometric identification on mobile devices," in Foundations of Augmented Cognition. Springer Berlin Heidelberg, 2013, pp. 783-791. [9] P. Kasprowski, “Human Identification Using Eye Movements,” Doctoral Thesis, 2004, Silesian University of Technology, Poland.
spellingShingle Randomized Mouse Movement for Behavioural Biometric Identification
summary A biometric system consists of pattern-recognition system that recognizes a person based on either physiological or behavioral characteristics. This system can be used either to identify or verify a user. In this paper, we proposed a behavioral biometric system that used random mouse movement to identify a user. We developed an application and tested it with five users. The experiment produced 14 matching or equal to 46.67% of successful matching. The experiments are done to observe the human actions under unpredictable situation because in real life, human acts are depending on their mood, stress or the surrounding environment.
title Randomized Mouse Movement for Behavioural Biometric Identification
title_full Randomized Mouse Movement for Behavioural Biometric Identification
title_fullStr Randomized Mouse Movement for Behavioural Biometric Identification
title_full_unstemmed Randomized Mouse Movement for Behavioural Biometric Identification
title_short Randomized Mouse Movement for Behavioural Biometric Identification
title_sort randomized mouse movement for behavioural biometric identification