Image-feature based human identification protocols on limited display devices

Jameel, Hassan, Shaikh, Riaz Ahmed ORCID:, Hung, Le Xuan, Wei, Yuan Wei, Raazi, Syed Muhammad Khaliq Ur Rehman, Canh, Ngo Trong, Lee, Sungyoung, Lee, Heejo, Son, Yuseung and Fernandes, Miguel (2009) Image-feature based human identification protocols on limited display devices. In: Information Security Applications - 9th International Workshop, WISA 2008, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . UNSPECIFIED, KOR, pp. 211-224. ISBN 3642003052

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We present variations and modifications of the image-feature based human identification protocol proposed by Jameel et al with application to user authentication on mobile devices with limited display capabilities. The protocols introduced are essentially reduced versions of the original protocol with a minor tradeoff between security and usability. However, the proposed protocols are not aimed for computation and memory restrained devices. A brief user survey highlights the usability. By employing realistic assumptions pertaining to mobile devices, we show that the protocols are secure under the conjectured difficulty of extracting the secret feature from the observation of images and their binary answers. The adversary considered is strictly passive.

Item Type: Book Section
Additional Information: Funding Information: This work was supported by the IT R&D program of MIC (Ministry of Information and Communication)/IITA (Institute of Information Technology Assessment). [2005-S-604-02, Realistic Virtual Engineering Technology Development].
Uncontrolled Keywords: theoretical computer science,computer science(all) ,/dk/atira/pure/subjectarea/asjc/2600/2614
Faculty \ School: Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory
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Depositing User: LivePure Connector
Date Deposited: 16 Aug 2022 15:30
Last Modified: 07 May 2023 06:30
DOI: 10.1007/978-3-642-00306-6_16

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