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VIBI: A Braille Inspired Password Entry Model to Assist Person with Visual Impairments

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 808))

Abstract

Visually impaired smartphone users are more vulnerable to cyber attacks such as visual/oral eavesdropping and shoulder surfing. One of the prime reasons is that these users are soft-target for the aforementioned attacks as they expose the visual and aural cues easier than the sighted users. Visually impaired people ultimately suffers from privacy threats in smart-phone platform. This paper proposes a braille inspired password entry model termed as VIBI to assist persons with visual impairments. We have examined the security attacks on smart-phones and proposed a multi-model system named VIBI, that provides the secure braille pattern based text input for persons with visual impairment. The user enters the password in an interface designed with inspirations from braille by tapping many times on touch screen with their fingers. Users can enter password in both portrait landscape orientations. We have conducted sessions with visually impaired participants to evaluate the model which shows that VIBI is faster, safer and easier to access than existing authentication models for smart-phones.

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Notes

  1. 1.

    https://en.wikipedia.org/wiki/Braille.

  2. 2.

    http://www.apple.com/in/accessibility/iphone/vision/.

  3. 3.

    https://github.com/BALAJIPUCS/Braille-Pattern-Password.git.

References

  1. Azenkot, S., Rector, K., Ladner, R., Wobbrock, J.: PassChords: secure multi-touch authentication for blind people. In: Proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility, pp. 159–166. ACM (2012)

    Google Scholar 

  2. Eiband, M., Khamis, M., von Zezschwitz, E., Hussmann, H., Alt, F.: Understanding shoulder surfing in the wild: stories from users and observers. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 4254–4265. ACM (2017)

    Google Scholar 

  3. Helkala, K.: Disabilities and authentication methods: usability and security. In: 2012 Seventh International Conference on Availability, Reliability and Security (ARES), pp. 327–334. IEEE (2012)

    Google Scholar 

  4. Jamieson, S., et al.: Likert scales: how to (ab)use them. Med. Educ. 38(12), 1217–1218 (2004)

    Article  Google Scholar 

  5. Kane, S.K., Wobbrock, J.O., Ladner, R.E.: Usable gestures for blind people: understanding preference and performance. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 413–422. ACM (2011)

    Google Scholar 

  6. Ludi, S., Timbrook, M., Chester, P.: AccessBraille: tablet-based Braille entry. In: Proceedings of the 16th International ACM SIGACCESS Conference on Computers & Accessibility, pp. 341–342. ACM (2014)

    Google Scholar 

  7. Smartphone Market: Smartphone market. http://www.idc.com/promo/smartphone-market-share/vendor. Accessed 12 Apr 2017

  8. Milne, L.R., Bennett, C.L., Ladner, R.E., Azenkot, S.: BraillePlay: educational smartphone games for blind children. In: Proceedings of the 16th International ACM SIGACCESS Conference on Computers & Accessibility, pp. 137–144. ACM (2014)

    Google Scholar 

  9. MobileStatistics: Mobilestatistics. https://deviceatlas.com/blog/16-mobile-market-statistics-you-should-know-2016. Accessed 15 May 2017

  10. Nicolau, H., Montague, K., Guerreiro, J., Marques, D., Guerreiro, T., Stewart, C., Hanson, V.: Augmenting Braille input through multitouch feedback. In: Proceedings of the Adjunct Publication of the 26th Annual ACM Symposium on User Interface Software and Technology, pp. 81–82. ACM (2013)

    Google Scholar 

  11. Rempel, J.: Comparing the accessibility and screen enhancement features of Google Android Lollipop 5.0 and Apple iOS 8.1.1 for people with low vision (2015)

    Google Scholar 

  12. Shabnam, M., Govindarajan, S.: Braille-coded gesture patterns for touch-screens a character input method for differently enabled persons using mobile devices. In: Proceedings on International Conference on Communication, Computing and Information Technology ICCCMIT, vol. 1, pp. 1–5. CiteSeer (2014)

    Google Scholar 

  13. Siqueira, J., de Melo Nunes, F.A.A., Silva, C.R.G., de Oliveira Berretta, L., Ferreira, C.B.R., Félix, I.M., Luna, M.M., et al.: BrailleÉcran: a Braille approach to text entry on smartphones. In: 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC), vol. 2, pp. 608–609. IEEE (2016)

    Google Scholar 

  14. Sonowal, G., Kuppusamy, K.: MASPHID: a model to assist screen reader users for detecting phishing sites using aural and visual similarity measures. In: Proceedings of the International Conference on Informatics and Analytics, p. 87. ACM (2016)

    Google Scholar 

  15. Srivastava, A., Dawle, S.: Mudra: a multimodal interface for Braille teaching. In: Proceedings of the 6th Augmented Human International Conference, pp. 169–170. ACM (2015)

    Google Scholar 

  16. TalkBack: Talkback. https://play.google.com/store/apps/details?id=com.google.android.marvin.talkback&hl=en. Accessed 21 Apr 2017

  17. Google TalkBack: Google talkback. https://play.google.com/store/apps/details?id=com.google.android.marvin.talkback&hl=en. Accessed 5 Mar 2017

  18. Thaler, L.: Echolocation may have real-life advantages for blind people: an analysis of survey data (2013)

    Google Scholar 

  19. VoiceOver: Voiceover. https://www.apple.com/in/accessibility/iphone/vision/. Accessed 16 Mar 2017

  20. Wakabayashi, N., Kuriyama, M., Kanai, A.: Personal authentication method against shoulder-surfing attacks for smartphone. In: 2017 IEEE International Conference on Consumer Electronics (ICCE), pp. 153–155. IEEE (2017)

    Google Scholar 

  21. WHO: Who. http://www.un.org/disabilities/default.asp?id=18. Accessed 04 Apr 2017

  22. Xu, C., Israr, A., Poupyrev, I., Bau, O., Harrison, C.: Tactile display for the visually impaired using teslaTouch. In: CHI 2011 Extended Abstracts on Human Factors in Computing Systems, pp. 317–322. ACM (2011)

    Google Scholar 

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Correspondence to V. Balaji .

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Balaji, V., Kuppusamy, K.S., Afzal, S. (2018). VIBI: A Braille Inspired Password Entry Model to Assist Person with Visual Impairments. In: Venkataramani, G., Sankaranarayanan, K., Mukherjee, S., Arputharaj, K., Sankara Narayanan, S. (eds) Smart Secure Systems – IoT and Analytics Perspective. ICIIT 2017. Communications in Computer and Information Science, vol 808. Springer, Singapore. https://doi.org/10.1007/978-981-10-7635-0_25

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  • DOI: https://doi.org/10.1007/978-981-10-7635-0_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7634-3

  • Online ISBN: 978-981-10-7635-0

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