PPT-Keystroke Biometric

Identification Studies on LongText Input Mary Villani DPS 2006 Fall 2008 Objective For longtext input of 600 keystrokes Determine the viability of the keystroke biometric two independent variables. Dave Bossio. Principal Group Program Manager. Windows Security. Janet Schneider. Senior Software Design Engineer. Windows Security. Agenda. Introduction. Windows Biometric Framework (WBF) Core Architecture Overview. Authentication on Long-Text Input. . Summary of eight years of research in this area. Charles Tappert. Seidenberg School of CSIS, Pace University. DPS+PhD. . Biometric Dissertations. Completed. Keystroke Biometric (long text input). Keystroke Biometric Intrusion Detection. Ned Bakelman. Advisor: Dr. Charles Tappert. Research Problem Statement. Using the keystroke biometric, how quickly and how accurately can we detect an intruder’s unauthorized use of another person’s computer?. 2015 . GenCyber. Cybersecurity Workshop. Review of Friday & Monday Sessions. Dr. Charles C. Tappert. Seidenberg School of CSIS, Pace University. http://csis.pace.edu/~ctappert. /. . What . is . Gonzalo . Perez. J. Vinnie Monaco. Advisor – Dr. Charles Tappert. Friday, May 1, 2017. Keystroke Biometric Rationale. According to Roy Maxion a research professor of computer science at Carnegie Mellon, “Motions that are performed numerous times, are governed by motor control, not deliberate thought. That is why successfully mimicking keystroke dynamics is physiologically . Keystroke Biometric Intrusion Detection. Ned Bakelman. Advisor: Dr. Charles Tappert. Research Problem Statement. Using the keystroke biometric, how quickly and how accurately can we detect an intruder’s unauthorized use of another person’s computer?. Chris Lange. 4/18/16. Abstract: Biometric sensors are used for many things today, from unlocking your phone to storing your data at a blood bank. Biometrics are unique from person to person, making it a good tool to use for identification.. WiFi. signals . Song . Fang. Content. Motivation. Keystroke eavesdropping models. Technical challenges. Research directions. Summary . . 2. 3. Bad. Good. Keystroke Eavesdropping. Virtual Keyboards. Authentication. Andrea Blanco. Binglin Li. Brian Connelly. What is Biometric Authentication. Biometrics. . Authentication. is associated with utilization of distinctive physiological characteristics for identifying individuals.. CO guide to data protection for organisations: ICO guidance on data protection for education establishments: http://www.ico.gov.uk/for_organisations/sector_guides/education.aspx WiFi. Signals. Alex Liu. Wei Wang. Muhammad . . Shahzad. . Kamran Ali. Dept. of Computer Science & Engineering. Michigan State University. Keystroke Recognition. . Kamran Ali. Wednesday April 12. th. , 2017. Key Concepts . “Problems with current security systems”. “Possible Solutions”. “Concept of Biometric Sensing”. “Current Biometric technology”. “Future Biometric technology”. es completely wireless and comeWi-Fi enabled. Thelso be set up on a LAN connec�on if it is required. esand a userdetailed descrip�onfeatures the clock. ques�ons easily installed by the buyer. Saikrishna. . Badrinarayanan. . (Visa Research) . Joint work with . Shashank Agrawal . Payman. . Mohassel. . Pratyay. Mukherjee . Sikhar. . Patranabis. Western Digital Facebook Visa Research Visa Research .