Una pantalla automultiscópica de dos capas como dispositivo resistente a los ataques de shoulder-surfing
David Carmona-Ballester, Sergio Bonaque-González, Juan M. Trujillo-Sevilla, Óscar Gómez-Cárdenes, José M. Rodríguez-Ramos
Descargar artículo
Información básica
Volumen
V55 - N4 / 2022 Ordinario
Referencia
51111
DOI
http://dx.doi.org/10.7149/OPA.55.4.51111
Idioma
English
Etiquetas
shoulder-surfing, privacy, light-field, multilayer display
Resumen
Shoulder surfing es un término que implica el robo de información sensible cuando se interactúa con dispositivos digitales. Evitarlo es de especial interés cuando se interactúa con pantallas en lugares públicos. Presentamos un método pasivo para evitar shoulder surfing basado en el uso de una pantalla automultiscópica (originalmente diseñada para generar efectos tridimensionales) para proyectar diferentes imágenes en cada dirección, produciendo una imagen borrosa irreconocible para cualquier usuario no autorizado; mientras que el usuario genuino puede observar la pantalla sin penalización. Demostramos que es posible alcanzar los criterios de privacidad utilizando dos pantallas digitales que funcionan a 133 Hz, eligiendo las vistas bloqueadas como versiones filtradas del patrón original. Además, proponemos una función de mérito que permite evaluar automáticamente la legibilidad de cada vista visualizada.
Referencias
M. Eiband, M. Khamis, E. von Zezschwitz, H. Hussmann, F. Alt, "Understanding shoulder surfing in the wild: Stories from users and observers," Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (2017).
A. Maiti, M. Jadliwala, C. Weber, "Preventing shoulder surfing using randomized augmented reality keyboards," 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE (2017).
M. Khamis, M. Eiband, M. Zurn, H. Hussmann, "EyeSpot: Leveraging Gaze to Protect Private Text Content on Mobile Devices from Shoulder Surfing," Multimodal Technologies and Interaction 2.3, 45 (2018).
M. E. Ali, A. Anwar, I. Ahmed, T. Hashem, L. Kulik, E. Tanin, "Protecting mobile users from visual privacy attacks," Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication (2014)
S. Man, D. Hong, M. Matthews, "A Shoulder-Surfing Resistant Graphical Password Scheme-Wiw," Security and management (2003).
L. Mun-Kyu, J. B. Kim, M.K. Franklin, "Enhancing the security of personal identification numbers with three-dimensional displays," Mobile information systems 2016 (2016).
C. E. McManis, "System and method for data security," U.S. Patent No. 5,629,984. 13 May (1997).
F. E. Ives, "Parallax stereogram and process of making same," U.S. Patent No. 725,567. 14 Apr. (1903).
M. Levoy, P. Hanrahan, "Light field rendering," Proceedings of the 23rd annual conference on Computer graphics and interactive techniques (1996).
H. Gotoda, "A multilayer liquid crystal display for autostereoscopic 3D viewing," Stereoscopic Displays and Applications XXI. Vol. 7524. SPIE (2010).
D. Lanman, M. Hirsch, Y. Kim, R. Raskar, "Content-adaptive parallax barriers: optimizing dual-layer 3D displays using low-rank light field factorization," ACM SIGGRAPH Asia 2010 papers, 1-10 (2010).
G. Wetzstein, D.R. Lanman, M. W. Hirsch, R. Raskar, "Tensor displays: compressive light field synthesis using multilayer displays with directional backlighting," (2012)
P. Paatero, U. Tapper, "Positive matrix factorization: A non‐negative factor model with optimal utilization of error estimates of data values," Environmetrics 5.2, 111-126 (1994).
D. Lee, H. Seung. "Algorithms for non-negative matrix factorization," Advances in neural information processing systems 13 (2000).
T. G. Kolda, B. W. Bader, "Tensor decompositions and applications," SIAM review 51.3, 455-500 (2009).
D. Lanman, G. Wetzstein, M. Hirsch, W. Heidrich, R. Raskar, "Polarization fields: dynamic light field display using multi-layer LCDs," Proceedings of the 2011 SIGGRAPH Asia Conference (2011).
G. Wetzstein, D. Lanman, W. Heidrich, R. Raskar, "Layered 3D: tomographic image synthesis for attenuation-based light field and high dynamic range displays," ACM SIGGRAPH 2011 papers. 2011. 1-12 (2011).
A. Cichocki, R. Zdunek, A. H. Phan, S. I. Amari, “Nonnegative matrix and tensor factorizations: applications to exploratory multi-way data analysis and blind source separation,” John Wiley & Sons (2009).
K. R. Alexander, W. Xie, D.J. Derlacki. "Spatial-frequency characteristics of letter identification," JOSA A 11.9, 2375-2382 (1994).
S. D. Christman, F. L. Kitterle, C. L. Niebauer, "Hemispheric asymmetries in the identification of band-pass filtered letters," Psychonomic Bulletin & Review 4.2, 277-284 (1997).
M. Kwon, G. E. Legge, "Spatial-frequency cutoff requirements for pattern recognition in central and peripheral vision," Vision research 51.18, 1995-2007 (2011).
M. Kwon, G. E. Legge, "Higher-contrast requirements for recognizing low-pass–filtered letters," Journal of Vision 13.1, 13-13 (2013).
M. Y. Kwon, G. E. Legge, "Spatial-frequency requirements for reading revisited," Vision Research 62, 139-147 (2012).
J. Goodman, "Introduction to Fourier optics. 3rd," Roberts and Company Publishers (2005).
D. Carmona-Ballester, J. M. Trujillo-Sevilla, S. Bonaque-González, A. Hernández-Delgado, J. M. Rodríguez-Ramos, "Analyzing the impact of the initialization for the nonnegative tensor factorization in tensor displays," Optical Engineering 57.6, 061603 (2018).
S. Welstead, “Fractal and wavelet image compression techniques,” Vol. 40. Spie Press (1999).
D. Chen, X. Sang, X. Yu, X. Zeng, S. Xie, N. Guo, "Performance improvement of compressive light field display with the viewing-position-dependent weight distribution," Optics Express 24.26, 29781-29793 (2016)
R. Chen, A. Maimone, H. Fuchs, R. Raskar, G. Wetzstein, "Wide field of view compressive light field display using a multilayer architecture and tracked viewers," Journal of the Society for Information Display 22.10, 525-534 (2014).
D. Carmona-Ballester, J. M. Trujillo-Sevilla, S. Bonaque-González, O. Gómez-Cárdenes, J.M. Rodríguez-Ramos, “Weighted nonnegative tensor factorization for atmospheric tomography reconstruction,” Astronomy & Astrophysics, 614, A41 (2018).
J. J. DiCarlo, D. Zoccolan, N. C. Rust. "How does the brain solve visual object recognition?," Neuron 73.3, 415-434 (2012).
M. Riesenhuber, T. Poggio, "Hierarchical models of object recognition in cortex," Nature neuroscience 2.11, 1019-1025 (1999).
S. Fan, T. T. Ng, J. S. Herberg, B. L. Koenig, C. Y. Tan, R. Wang, "An automated estimator of image visual realism based on human cognition," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2014).
T. Serre, L. Wolf, S. Bileschi, M. Riesenhuber, T. Poggio, "Robust object recognition with cortex-like mechanisms," IEEE transactions on pattern analysis and machine intelligence 29.3, 411-426 (2007).
T. Serre, L. Wolf, T. Poggio, "Object recognition with features inspired by visual cortex," 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05). Vol. 2. IEEE, (2005).