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.

[img]
Preview
PDF
Abreu_UsingKeystrokeDynamics(AM).pdf - Accepted Version
All rights reserved.

Download (217kB) | Preview
[img] PDF
Using keystroke dynamics for gender identification in social network environment.pdf - Published Version
Restricted to Repository staff only
All rights reserved.

Download (217kB)
Official URL: https://ieeexplore.ieee.org/document/6203675
Link to published version:: https://doi.org/10.1049/ic.2011.0124
Related URLs:

    Abstract

    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.
    Identification Number: https://doi.org/10.1049/ic.2011.0124
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 20 Aug 2020 12:14
    Last Modified: 21 Aug 2020 15:30
    URI: http://shura.shu.ac.uk/id/eprint/25386

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics