caa a22 4500 606229248 CHVBK 20210128101207.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s10796-015-9587-9 doi (NATIONALLICENCE)springer-10.1007/s10796-015-9587-9 Secure and privacy preserving data processing support for active authentication [Elektronische Daten] [Yan Sun, Shambhu Upadhyaya] Keystroke dynamics and mouse movements are effective behavioral biometric modalities for active authentication. However, very little is done on the privacy of collection and transmission of keyboard and mouse data. In this paper, we develop a rule based data sanitization scheme to detect and remove personally identifiable and other sensitive information from the collected data set. Preliminary experiments show that our scheme incurs on average 5.69% false negative error rate and 0.64% false positive error rate. We also develop a data transmission scheme using the Extensible Messaging and Presence Protocol (XMPP) to guarantee privacy during transmission. Using these two schemes as a basis, we develop two distinct architectures for providing secure and privacy preserving data processing support for active authentication. These architectures provide flexibility of use depending upon the application environment. Springer Science+Business Media New York, 2015 Privacy nationallicence Security nationallicence Sanitization nationallicence XMPP nationallicence Sun Yan Department of Computer Science and Engineering, State University of New York at Buffalo, 14260, Buffalo, NY, USA aut Upadhyaya Shambhu Department of Computer Science and Engineering, State University of New York at Buffalo, 14260, Buffalo, NY, USA aut Information Systems Frontiers Springer US; http://www.springer-ny.com 17/5(2015-10-01), 1007-1015 1387-3326 17:5<1007 2015 17 10796 https://doi.org/10.1007/s10796-015-9587-9 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10796-015-9587-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sun Yan Department of Computer Science and Engineering, State University of New York at Buffalo, 14260, Buffalo, NY, USA aut NATIONALLICENCE 700 1- Upadhyaya Shambhu Department of Computer Science and Engineering, State University of New York at Buffalo, 14260, Buffalo, NY, USA aut NATIONALLICENCE 773 0- Information Systems Frontiers Springer US; http://www.springer-ny.com 17/5(2015-10-01), 1007-1015 1387-3326 17:5<1007 2015 17 10796