An efficient user verification system via mouse movements

Biometric authentication verifies a user based on its inherent, unique characteristics --- who you are. In addition to physiological biometrics, behavioral biometrics has proven very useful in authenticating a user. Mouse dynamics, with their unique patterns of mouse movements, is one such behavioral biometric. In this paper, we present a user verification system using mouse dynamics, which is both accurate and efficient enough for future usage. The key feature of our system lies in using much more fine-grained (point-by-point) angle-based metrics of mouse movements for user verification. These new metrics are relatively unique from person to person and independent of the computing platform. Moreover, we utilize support vector machines (SVMs) for accurate and fast classification. Our technique is robust across different operating platforms, and no specialized hardware is required. The efficacy of our approach is validated through a series of experiments. Our experimental results show that the proposed system can verify a user in an accurate and timely manner, and induced system overhead is minor.

[1]  Marti A. Hearst.  Trends & Controversies: Support Vector Machines , 1998, IEEE Intell. Syst..

[2]  Alain Forget,et al.  Multiple password interference in text passwords and click-based graphical passwords , 2009, CCS.

[3]  Xian Ke,et al.  Typing patterns: a key to user identification , 2004, IEEE Security & Privacy Magazine.

[4]  Carla E. Brodley,et al.  User re-authentication via mouse movements , 2004, VizSEC/DMSEC '04.

[5]  Dan Boneh,et al.  Stronger Password Authentication Using Browser Extensions , 2005, USENIX Security Symposium.

[6]  Mary Villani,et al.  An Enhanced Keystroke Biometric System and Associated Studies , 2008 .

[7]  Michael K. Reiter,et al.  Password hardening based on keystroke dynamics , 2002, International Journal of Information Security.

[8]  Jean-Luc Dugelay,et al.  Online face detection and user authentication , 2005, MULTIMEDIA '05.

[9]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[10]  Thorsten Joachims,et al.  Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.

[11]  Robert Biddle,et al.  A Usability Study and Critique of Two Password Managers , 2006, USENIX Security Symposium.

[12]  Daniel P. Lopresti,et al.  Biometric Authentication Revisited: Understanding the Impact of Wolves in Sheep's Clothing , 2006, USENIX Security Symposium.

[13]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[14]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .

[15]  Ahmed Awad E. Ahmed,et al.  A New Biometric Technology Based on Mouse Dynamics , 2007, IEEE Transactions on Dependable and Secure Computing.

[16]  D.A. Schulz,et al.  Mouse Curve Biometrics , 2006, 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference.

[17]  Michael K. Reiter,et al.  The security of modern password expiration: an algorithmic framework and empirical analysis , 2010, CCS '10.

[18]  Fabian Monrose,et al.  Authentication via keystroke dynamics , 1997, CCS '97.

[19]  Alain Forget,et al.  Exploring usability effects of increasing security in click-based graphical passwords , 2010, ACSAC '10.

[20]  Edward Y. Chang,et al.  Support vector machine active learning for image retrieval , 2001, MULTIMEDIA '01.

[21]  Srivaths Ravi,et al.  Efficient fingerprint-based user authentication for embedded systems , 2005, Proceedings. 42nd Design Automation Conference, 2005..

[22]  Tomaso A. Poggio,et al.  A general framework for object detection , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[23]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[24]  Ting Yu,et al.  On mouse dynamics as a behavioral biometric for authentication , 2011, ASIACCS '11.

[25]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[26]  Venu Govindaraju,et al.  Behavioural biometrics: a survey and classification , 2008, Int. J. Biom..

[27]  Cormac Herley,et al.  A large-scale study of web password habits , 2007, WWW '07.

[28]  Robert Biddle,et al.  Graphical passwords: Learning from the first twelve years , 2012, CSUR.

[29]  I. Traore,et al.  Anomaly intrusion detection based on biometrics , 2005, Proceedings from the Sixth Annual IEEE SMC Information Assurance Workshop.

[30]  Ana L. N. Fred,et al.  A behavioral biometric system based on human-computer interaction , 2004, SPIE Defense + Commercial Sensing.

[31]  Issa Traoré,et al.  Improving Mouse Dynamics Biometric Performance Using Variance Reduction via Extractors With Separate Features , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[32]  Robert Biddle,et al.  Graphical Password Authentication Using Cued Click Points , 2007, ESORICS.

[33]  Urmila Kukreja,et al.  RUI: Recording user input from interfaces under Windows and Mac OS X , 2006, Behavior research methods.

[34]  Roy A. Maxion,et al.  Why Did My Detector Do That?! - Predicting Keystroke-Dynamics Error Rates , 2010, RAID.

[35]  E AhmedAhmed Awad,et al.  A New Biometric Technology Based on Mouse Dynamics , 2007 .