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. Playbook. 23.-26.09.2014. Agenda. General Information. Exhibition area. Invitations and tickets. Direction. . and. . Transportation. Overnight stay in Essen. Contact. overview. Security Essen 23.09.-26.09.2014. 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). REU . fellow: Kirsten Giesbrecht. 1. , Faculty . mentor: . Dr. Jonathan . Voris. 2. . Affiliation: 1.Centre College 2. School of Engineering and Computing Sciences, NYIT. NYIT Research Experience for Undergraduates (REU) . ბიომეტრია: მითები და რეალობა. Author: . doctoral student. . Maguli Bedineishvili. maguli1004@gmail.com. Research director: . doctor of technical sciences, . 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 . By Dr. Daniyal Alghazzawi. (7). AUTHENTICATION . Introduction. There are . two . primary parts to access . control:. Authentication. Authorization. Authentication deals with the problem of determining whether a user (or other entity) should be allowed access to a particular system or resource.. WiFi. signals . Song . Fang. Content. Motivation. Keystroke eavesdropping models. Technical challenges. Research directions. Summary . . 2. 3. Bad. Good. Keystroke Eavesdropping. Virtual Keyboards. assessment . is important?. Dr. Ted . Dunstone. , Chair Technical Panel . Biometrics Institute,. CEO Biometix. Some Debate Questions. What . are the main vulnerability points of ABC systems and their known (and unknown) . years of focused world-class experience. World’s largest install base. Most industries & toughest environments. Consistently Ranked #1 by . NIST. Most refined, tested . and trusted algorithms. FBI . Vijay . Srinivasan. , John . Stankovic. , . Kamin. Whitehouse. University of Virginia. Identifying (and locating) residents in smart homes. Important problem for . smart homes. Elderly monitoring. Home energy conservation. 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 .