2. New Interaction Techniques Department of Computer Sciences University of Tampere, Finland September – December, 2003 Grigori Evreinov www.cs.uta.fi/~grse/ Access Control Key-typing biometrics ** http://www.lfe.mw.tum.de/~marstaller/links.htmlhttp://www.lfe.mw.tum.de/~marstaller/links.html **

3. TAUCHI MMIG G. Evreinov p 01_08 03.10.2003 Access Control Typing biometrics the remote communication requires increasing of general privacy the general methods of user verification (to verify a person's identity) are through the use of physical objects (tokens), knowledge (codes, passwords), or individual physical and behavioral characteristics - keystroke dynamics, fingerprints, voice patterns, signature dynamics typing biometrics is more commonly referred to as keystroke dynamics dynamics examines the way in which a person types or keys on a keyboard this method is based on the typing of the individuals such as durations of keystrokes, and between keystrokes, inter-keystroke times, typing error, force keystrokes etc. another cause to investigate keystroke dynamics is the prospect of an appearance of force-sensitive keys in mobile devices [3]

4. TAUCHI MMIG G. Evreinov p 02_08 03.10.2003 A Personal Authentication with Keystroke Timing Patterns Toshimitsu YAMAGUCHI, Kazuhiro Notomi, Hiroaki Ishii personal authentication can be built on features analysis of the temporal structure of user behavior authors presented a method and a prototype system based on SOM * algorithm and keystroke timing patterns as input vectors for the learning PIN – 4 numerical characters, 8 trials for creating maps 40 trials for evaluation, 7 persons the result of experiment showed the system keeps a ration of False Acceptance Rate to False Rejection Rate on the maps about 25% * Self-Organizing Maps – neural network model, which is a general unsupervised learning method for ordering high-dimensional stat. data Access Control

5. TAUCHI MMIG G. Evreinov p 03_08 03.10.2003 Keystroke dynamics as a biometric for authentication Fabian Monrose, Aviel D. Rubin [4] the graphs showed that on an average, the user suppresses keys for a longer period than it takes to type them Access Control

6. TAUCHI MMIG G. Evreinov p 04_08 03.10.2003 Longitudinal Characteristics of Proprioceptive Memory on Keystrokes: Designing for an Enhanced Authentication System Using Pressures of Keystroke Kentaro KOTANI, Ken Horii empirical verification was demonstrated for the use of pressures of keystroke incorporated with the keystroke dynamics profile for secured authentication results revealed that multi-modal approach was more effective than the conventional authentication using keystroke latencies a numerical keypad was made such that a 5mm-diameter force-sensitive resistor was equipped at the surface of each pad for the measurement of keystroke force Access Control

7. TAUCHI MMIG G. Evreinov p 05_08 03.10.2003 Demo Access Control [1, 2]

8. TAUCHI MMIG G. Evreinov p 06_08 03.10.2003 Usability-testing software for… Access Control txtEntry Access

9. Access Control Clear Data TAUCHI MMIG G. Evreinov p 07_08 03.10.2003 TWords.txt /phrases (20) GridData1: test words/chars entered text /chars time per char, ms duration when button was down per char, ms GridData2: char per word /phrase num. of entered words num. of strokes /clicks per word /phrase time per word/phrase, s duration when button was down per word, s lblTestSymbol txtText1 On-screen Keyboard Break test Test initialization Ctrl+K=>move keys SetSigns SetCharacters BackSp Statistics() Latency, ms s (st.dev), ms Duration, ms s, ms Errors wpm TestTime, s lblSave_Click() + column 4 GridData2_Click() to save column to build graphics GridData1_Click() to save column to build graphics txtPersonData comments… fraData WordsLoading SetTest lblOpen_Click() + column 4 SetData Trial start Timer1 Timer2 SpotActivate BorderOn BorderOff BtnDownDrawGraph Graph

10. TAUCHI MMIG G. Evreinov p 08_08 03.10.2003 References [1] BioPassword FAQ, http://www.lfca.net/bp_faq.htmhttp://www.lfca.net/bp_faq.htm http://www.biopassword.com/home/technology/biometrics.asp or http://www.cs.uta.fi/~grse/NIT_2003/NIT_Practice/AccessControl/Software/biodemo.ziphttp://www.cs.uta.fi/~grse/NIT_2003/NIT_Practice/AccessControl/Software/biodemo.zip [2] BP-127 BioPassword Logon Protection v4.5 http://www.lfca.net/bp_127.htmhttp://www.lfca.net/bp_127.htm http://www.biopassword.com/home/technology/BP%204.5%20Technical%20Paper.pdf http://www.biopassword.com/home/products/BP_SDK2.0_021502.pdf [3] New opportunities with flat sensors http://www.tech21.de/en/sensor.htmlhttp://www.tech21.de/en/sensor.html [4] Monrose, F., Rubin, A.D. Keystroke dynamics as a biometric for authentication. Future Generation Computer Systems 16 (2000) 351–359 http://citeseer.nj.nec.com/monrose99keystroke.html http://citeseer.nj.nec.com/monrose97authentication.html [5] ePad™ electronic signature tablets, http://www.steadlands.com/epad.htmhttp://www.steadlands.com/epad.htm [6] Pressure Sensing Technology, http://www.steadlands.com/pst.htmhttp://www.steadlands.com/pst.htm [7] Mascaro, S.A. and Asada, H.H. Photoplethysmograph Fingernail Sensors for Measuring Finger Forces Without Haptic Obstruction. IEEE Transactions on Robotics and Automation, 17 (5), October 2001 [8] An introduction to biometrics. http://www.biometrics.org/html/introduction.htmlhttp://www.biometrics.org/html/introduction.html Access Control