Learning a policy for gesture-based active multi-touch authentication

Raquel Torres Peralta; Anton Rebguns; Ian R. Fasel; Kobus Barnard

doi:10.1007/978-3-642-39345-7_7

Learning a policy for gesture-based active multi-touch authentication

Raquel Torres Peralta, Anton Rebguns, Ian R. Fasel, Kobus Barnard

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Multi-touch tablets can offer a large, collaborative space where several users can work on a task at the same time. However, the lack of privacy in these situations makes standard password-based authentication easily compromised. This work presents a new gesture-based authentication system based on users' unique signature of touch motion when drawing a combination of one-stroke gestures following two different policies, one fixed for all users and the other selected by a model of control to maximize the expected long-term information gain. The system is able to achieve high user recognition accuracy with relatively few gestures, demonstrating that human touch patterns have a distinctive "signature" that can be used as a powerful biometric measure for user recognition and personalization.

Original language	English (US)
Title of host publication	Human Aspects of Information Security, Privacy, and Trust - First International Conference, HAS 2013, Held as Part of HCI International 2013, Proceedings
Publisher	Springer-Verlag
Pages	59-68
Number of pages	10
ISBN (Print)	9783642393440
DOIs	https://doi.org/10.1007/978-3-642-39345-7_7
State	Published - 2013
Event	1st International Conference on Human Aspects of Information Security, Privacy, and Trust, HAS 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI 2013 - Las Vegas, NV, United States Duration: Jul 21 2013 → Jul 26 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8030 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	1st International Conference on Human Aspects of Information Security, Privacy, and Trust, HAS 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI 2013
Country/Territory	United States
City	Las Vegas, NV
Period	7/21/13 → 7/26/13

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-39345-7_7

Cite this

Peralta, R. T., Rebguns, A., Fasel, I. R., & Barnard, K. (2013). Learning a policy for gesture-based active multi-touch authentication. In Human Aspects of Information Security, Privacy, and Trust - First International Conference, HAS 2013, Held as Part of HCI International 2013, Proceedings (pp. 59-68). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8030 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-642-39345-7_7

Learning a policy for gesture-based active multi-touch authentication. / Peralta, Raquel Torres; Rebguns, Anton; Fasel, Ian R. et al.
Human Aspects of Information Security, Privacy, and Trust - First International Conference, HAS 2013, Held as Part of HCI International 2013, Proceedings. Springer-Verlag, 2013. p. 59-68 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8030 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Peralta, RT, Rebguns, A, Fasel, IR & Barnard, K 2013, Learning a policy for gesture-based active multi-touch authentication. in Human Aspects of Information Security, Privacy, and Trust - First International Conference, HAS 2013, Held as Part of HCI International 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8030 LNCS, Springer-Verlag, pp. 59-68, 1st International Conference on Human Aspects of Information Security, Privacy, and Trust, HAS 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI 2013, Las Vegas, NV, United States, 7/21/13. https://doi.org/10.1007/978-3-642-39345-7_7

Peralta RT, Rebguns A, Fasel IR, Barnard K. Learning a policy for gesture-based active multi-touch authentication. In Human Aspects of Information Security, Privacy, and Trust - First International Conference, HAS 2013, Held as Part of HCI International 2013, Proceedings. Springer-Verlag. 2013. p. 59-68. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-39345-7_7

Peralta, Raquel Torres ; Rebguns, Anton ; Fasel, Ian R. et al. / Learning a policy for gesture-based active multi-touch authentication. Human Aspects of Information Security, Privacy, and Trust - First International Conference, HAS 2013, Held as Part of HCI International 2013, Proceedings. Springer-Verlag, 2013. pp. 59-68 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{2d5a8ee3f97246a49447f215feb4c5f3,

title = "Learning a policy for gesture-based active multi-touch authentication",

abstract = "Multi-touch tablets can offer a large, collaborative space where several users can work on a task at the same time. However, the lack of privacy in these situations makes standard password-based authentication easily compromised. This work presents a new gesture-based authentication system based on users' unique signature of touch motion when drawing a combination of one-stroke gestures following two different policies, one fixed for all users and the other selected by a model of control to maximize the expected long-term information gain. The system is able to achieve high user recognition accuracy with relatively few gestures, demonstrating that human touch patterns have a distinctive {"}signature{"} that can be used as a powerful biometric measure for user recognition and personalization.",

author = "Peralta, {Raquel Torres} and Anton Rebguns and Fasel, {Ian R.} and Kobus Barnard",

year = "2013",

doi = "10.1007/978-3-642-39345-7_7",

language = "English (US)",

isbn = "9783642393440",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer-Verlag",

pages = "59--68",

booktitle = "Human Aspects of Information Security, Privacy, and Trust - First International Conference, HAS 2013, Held as Part of HCI International 2013, Proceedings",

note = "1st International Conference on Human Aspects of Information Security, Privacy, and Trust, HAS 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI 2013 ; Conference date: 21-07-2013 Through 26-07-2013",

}

TY - GEN

T1 - Learning a policy for gesture-based active multi-touch authentication

AU - Peralta, Raquel Torres

AU - Rebguns, Anton

AU - Fasel, Ian R.

AU - Barnard, Kobus

PY - 2013

Y1 - 2013

N2 - Multi-touch tablets can offer a large, collaborative space where several users can work on a task at the same time. However, the lack of privacy in these situations makes standard password-based authentication easily compromised. This work presents a new gesture-based authentication system based on users' unique signature of touch motion when drawing a combination of one-stroke gestures following two different policies, one fixed for all users and the other selected by a model of control to maximize the expected long-term information gain. The system is able to achieve high user recognition accuracy with relatively few gestures, demonstrating that human touch patterns have a distinctive "signature" that can be used as a powerful biometric measure for user recognition and personalization.

AB - Multi-touch tablets can offer a large, collaborative space where several users can work on a task at the same time. However, the lack of privacy in these situations makes standard password-based authentication easily compromised. This work presents a new gesture-based authentication system based on users' unique signature of touch motion when drawing a combination of one-stroke gestures following two different policies, one fixed for all users and the other selected by a model of control to maximize the expected long-term information gain. The system is able to achieve high user recognition accuracy with relatively few gestures, demonstrating that human touch patterns have a distinctive "signature" that can be used as a powerful biometric measure for user recognition and personalization.

UR - http://www.scopus.com/inward/record.url?scp=84880735478&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84880735478&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-39345-7_7

DO - 10.1007/978-3-642-39345-7_7

M3 - Conference contribution

AN - SCOPUS:84880735478

SN - 9783642393440

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 59

EP - 68

BT - Human Aspects of Information Security, Privacy, and Trust - First International Conference, HAS 2013, Held as Part of HCI International 2013, Proceedings

PB - Springer-Verlag

T2 - 1st International Conference on Human Aspects of Information Security, Privacy, and Trust, HAS 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI 2013

Y2 - 21 July 2013 through 26 July 2013

ER -

Learning a policy for gesture-based active multi-touch authentication

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this