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A service-independent model for linking online user profile information

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A service-independent model for linking online user profile information. / Edwards, Matthew; Rashid, Awais; Rayson, Paul.
IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014, The Hague, The Netherlands, 24-26 September, 2014. IEEE, 2014. p. 280-283.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Edwards, M, Rashid, A & Rayson, P 2014, A service-independent model for linking online user profile information. in IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014, The Hague, The Netherlands, 24-26 September, 2014. IEEE, pp. 280-283. https://doi.org/10.1109/JISIC.2014.55

APA

Edwards, M., Rashid, A., & Rayson, P. (2014). A service-independent model for linking online user profile information. In IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014, The Hague, The Netherlands, 24-26 September, 2014 (pp. 280-283). IEEE. https://doi.org/10.1109/JISIC.2014.55

Vancouver

Edwards M, Rashid A, Rayson P. A service-independent model for linking online user profile information. In IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014, The Hague, The Netherlands, 24-26 September, 2014. IEEE. 2014. p. 280-283 doi: 10.1109/JISIC.2014.55

Author

Edwards, Matthew ; Rashid, Awais ; Rayson, Paul. / A service-independent model for linking online user profile information. IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014, The Hague, The Netherlands, 24-26 September, 2014. IEEE, 2014. pp. 280-283

Bibtex

@inproceedings{107d77709fd6472ab4d221ef0341d62a,
title = "A service-independent model for linking online user profile information",
abstract = "Public user profile information is a common feature of modern websites. These profiles can provide a valuable resource for investigators tracing digital artefacts of crime, but current approaches are limited in their ability to link identities across different platforms. We address this through a service-independent model of user profile information, grounded in the details visible on a number of the most-frequented sites on the web. Building on this, we report the details most widespread across platforms and the number of features visible on each site, thus highlighting details of use to both privacy researchers and investigators attempting to cross-link profiles.",
author = "Matthew Edwards and Awais Rashid and Paul Rayson",
year = "2014",
doi = "10.1109/JISIC.2014.55",
language = "English",
isbn = "9781479963638",
pages = "280--283",
booktitle = "IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014, The Hague, The Netherlands, 24-26 September, 2014",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - A service-independent model for linking online user profile information

AU - Edwards, Matthew

AU - Rashid, Awais

AU - Rayson, Paul

PY - 2014

Y1 - 2014

N2 - Public user profile information is a common feature of modern websites. These profiles can provide a valuable resource for investigators tracing digital artefacts of crime, but current approaches are limited in their ability to link identities across different platforms. We address this through a service-independent model of user profile information, grounded in the details visible on a number of the most-frequented sites on the web. Building on this, we report the details most widespread across platforms and the number of features visible on each site, thus highlighting details of use to both privacy researchers and investigators attempting to cross-link profiles.

AB - Public user profile information is a common feature of modern websites. These profiles can provide a valuable resource for investigators tracing digital artefacts of crime, but current approaches are limited in their ability to link identities across different platforms. We address this through a service-independent model of user profile information, grounded in the details visible on a number of the most-frequented sites on the web. Building on this, we report the details most widespread across platforms and the number of features visible on each site, thus highlighting details of use to both privacy researchers and investigators attempting to cross-link profiles.

U2 - 10.1109/JISIC.2014.55

DO - 10.1109/JISIC.2014.55

M3 - Conference contribution/Paper

SN - 9781479963638

SP - 280

EP - 283

BT - IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014, The Hague, The Netherlands, 24-26 September, 2014

PB - IEEE

ER -