Using keystroke dynamics for gender identification in social network environment

FAIRHURST, M. and DA COSTA ABREU, Marjory (2012). Using keystroke dynamics for gender identification in social network environment. In: 4th International Conference on Imaging for Crime Detection and Prevention 2011 (ICDP 2011). IET.

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Social networking is now a very widely adopted and highly pervasive communication medium, especially among younger people. However, while offering exceptional opportunities to share and interact these media also introduce the risk of transactions with individuals who deliberately conceal their identity or, importantly, can easily misrepresent their personal characteristics. This paper introduces an approach to addressing such risks by using a form of biometric data accessible from routine interaction mechanisms to predict important user characteristics, thereby directly increasing trust and reliability with respect to the claims made to message receivers by those who communicate with them.

Item Type: Book Section
Additional Information: © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 20 Aug 2020 12:14
Last Modified: 17 Mar 2021 23:33

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