Confidence and Risk Estimation Plugins for Multi-Modal Authentication on Mobile Devices using CORMORANT

Daniel Hintze; Muhammad Muaaz; Rainhard Findling; Sebastian Scholz; Eckhard Koch; Rene Mayrhofer

doi:10.1145/2837126.2843845

Confidence and Risk Estimation Plugins for Multi-Modal Authentication on Mobile Devices using CORMORANT

Daniel Hintze, Muhammad Muaaz, Rainhard Findling, Sebastian Scholz, Eckhard Koch, Rene Mayrhofer

Research Center Hagenberg

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

Mobile devices, ubiquitous in modern lifestyle, embody and provide convenient access to our digital lives. Being small and mobile, they are easily lost or stole, therefore require strong authentication to mitigate the risk of unauthorized access. Common knowledge-based mechanism like PIN or pattern, however, fail to scale with the high frequency but short duration of device interactions and ever increasing number of mobile devices carried simultaneously. To overcome these limitations, we present CORMORANT, an extensible framework for risk-aware multi-modal biometric uthentication across multiple mobile devices that offers increased security and requires less user interaction.

Original language	English
Title of host publication	13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings
Editors	Ismail Khalil, Matthias Steinbauer, Liming Chen, Gabriele Anderst-Kotsis
Publisher	ACM Press
Pages	384-388
Number of pages	5
ISBN (Electronic)	9781450334938
DOIs	https://doi.org/10.1145/2837126.2843845
Publication status	Published - 11 Dec 2015
Event	The 13th International Conference on Advances in Mobile Computing and Multimedia - Brussels, Belgium, Austria Duration: 11 Dec 2015 → 12 Dec 2015 http://www.iiwas.org/conferences/momm2015/home

Publication series

Name	13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings

Conference

Conference	The 13th International Conference on Advances in Mobile Computing and Multimedia
Country/Territory	Austria
City	Brussels, Belgium
Period	11.12.2015 → 12.12.2015
Internet address	http://www.iiwas.org/conferences/momm2015/home

Keywords

biometrics
multi-modal authentication
risk assessment

Access to Document

10.1145/2837126.2843845

Cite this

Hintze, D., Muaaz, M., Findling, R., Scholz, S., Koch, E., & Mayrhofer, R. (2015). Confidence and Risk Estimation Plugins for Multi-Modal Authentication on Mobile Devices using CORMORANT. In I. Khalil, M. Steinbauer, L. Chen, & G. Anderst-Kotsis (Eds.), 13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings (pp. 384-388). (13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings). ACM Press. https://doi.org/10.1145/2837126.2843845

Hintze, Daniel ; Muaaz, Muhammad ; Findling, Rainhard et al. / Confidence and Risk Estimation Plugins for Multi-Modal Authentication on Mobile Devices using CORMORANT. 13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings. editor / Ismail Khalil ; Matthias Steinbauer ; Liming Chen ; Gabriele Anderst-Kotsis. ACM Press, 2015. pp. 384-388 (13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings).

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abstract = "Mobile devices, ubiquitous in modern lifestyle, embody and provide convenient access to our digital lives. Being small and mobile, they are easily lost or stole, therefore require strong authentication to mitigate the risk of unauthorized access. Common knowledge-based mechanism like PIN or pattern, however, fail to scale with the high frequency but short duration of device interactions and ever increasing number of mobile devices carried simultaneously. To overcome these limitations, we present CORMORANT, an extensible framework for risk-aware multi-modal biometric uthentication across multiple mobile devices that offers increased security and requires less user interaction.",

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author = "Daniel Hintze and Muhammad Muaaz and Rainhard Findling and Sebastian Scholz and Eckhard Koch and Rene Mayrhofer",

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booktitle = "13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings",

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Hintze, D, Muaaz, M, Findling, R, Scholz, S, Koch, E & Mayrhofer, R 2015, Confidence and Risk Estimation Plugins for Multi-Modal Authentication on Mobile Devices using CORMORANT. in I Khalil, M Steinbauer, L Chen & G Anderst-Kotsis (eds), 13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings. 13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings, ACM Press, pp. 384-388, The 13th International Conference on Advances in Mobile Computing and Multimedia, Brussels, Belgium, Austria, 11.12.2015. https://doi.org/10.1145/2837126.2843845

Confidence and Risk Estimation Plugins for Multi-Modal Authentication on Mobile Devices using CORMORANT. / Hintze, Daniel; Muaaz, Muhammad; Findling, Rainhard et al.
13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings. ed. / Ismail Khalil; Matthias Steinbauer; Liming Chen; Gabriele Anderst-Kotsis. ACM Press, 2015. p. 384-388 (13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

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T1 - Confidence and Risk Estimation Plugins for Multi-Modal Authentication on Mobile Devices using CORMORANT

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AU - Muaaz, Muhammad

AU - Findling, Rainhard

AU - Scholz, Sebastian

AU - Koch, Eckhard

AU - Mayrhofer, Rene

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AB - Mobile devices, ubiquitous in modern lifestyle, embody and provide convenient access to our digital lives. Being small and mobile, they are easily lost or stole, therefore require strong authentication to mitigate the risk of unauthorized access. Common knowledge-based mechanism like PIN or pattern, however, fail to scale with the high frequency but short duration of device interactions and ever increasing number of mobile devices carried simultaneously. To overcome these limitations, we present CORMORANT, an extensible framework for risk-aware multi-modal biometric uthentication across multiple mobile devices that offers increased security and requires less user interaction.

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KW - multi-modal authentication

KW - risk assessment

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KW - multi-modal authentication

KW - risk assessment

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M3 - Conference contribution

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SP - 384

EP - 388

BT - 13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings

A2 - Khalil, Ismail

A2 - Steinbauer, Matthias

A2 - Chen, Liming

A2 - Anderst-Kotsis, Gabriele

PB - ACM Press

T2 - The 13th International Conference on Advances in Mobile Computing and Multimedia

Y2 - 11 December 2015 through 12 December 2015

ER -

Hintze D, Muaaz M, Findling R, Scholz S, Koch E, Mayrhofer R. Confidence and Risk Estimation Plugins for Multi-Modal Authentication on Mobile Devices using CORMORANT. In Khalil I, Steinbauer M, Chen L, Anderst-Kotsis G, editors, 13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings. ACM Press. 2015. p. 384-388. (13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings). doi: 10.1145/2837126.2843845

Confidence and Risk Estimation Plugins for Multi-Modal Authentication on Mobile Devices using CORMORANT

Abstract

Publication series

Conference

Keywords

Access to Document

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