Effectiveness of Some Tests of Spatial Randomness in the Detection of Weak Graphical Passwords in Passpoint

[1]  Nasir D. Memon,et al.  Authentication using graphical passwords: effects of tolerance and image choice , 2005, SOUPS '05.

[2]  D. Stoyan,et al.  Statistical Analysis and Modelling of Spatial Point Patterns , 2008 .

[3]  C. Koch,et al.  Computational modelling of visual attention , 2001, Nature Reviews Neuroscience.

[4]  Jorge Mateu,et al.  Distance-Based Methods: Ripley's K function vs. K density function , 2011 .

[5]  Katarzyna Kopczewska,et al.  Cluster-Based Measurement of Agglomeration, Concentration and Specialisation , 2017 .

[6]  P. Dixon Ripley's K Function , 2006 .

[7]  Nasir D. Memon,et al.  PassPoints: Design and longitudinal evaluation of a graphical password system , 2005, Int. J. Hum. Comput. Stud..

[8]  A. Gelfand,et al.  Handbook of spatial statistics , 2010 .

[9]  Oliver Nakoinz,et al.  Modelling Human Behaviour in Landscapes , 2016 .

[10]  Julie Thorpe,et al.  Exploiting predictability in click-based graphical passwords , 2011, J. Comput. Secur..

[11]  B. Ripley Tests of 'Randomness' for Spatial Point Patterns , 1979 .

[12]  Virgilio Gómez-Rubio,et al.  Spatial Point Patterns: Methodology and Applications with R , 2016 .

[13]  J. Camarero,et al.  Técnicas de análisis espacial de patrones de puntos aplicadas en ecología forestal , 2005 .

[14]  Carol A. Gotway,et al.  Statistical Methods for Spatial Data Analysis , 2004 .

[15]  Haichang Gao,et al.  A survey on the use of graphical passwords in security , 2013, J. Softw..

[16]  Malrey Lee,et al.  Security in graphical authentication , 2013 .