Identity resolution for fraud prevention
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Autor:innen
Studer, Michael
Autor:in (Körperschaft)
Publikationsdatum
01/2015
Typ der Arbeit
Master
Studiengang
Sammlung
Typ
11 - Studentische Arbeit
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
Patentnummer
Verlag / Herausgebende Institution
Hochschule für Wirtschaft FHNW
Verlagsort / Veranstaltungsort
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
The purpose of this master thesis is to find the best solution for identity resolution between
social media networks and bank customers. With the contacts of the identified social media
user it should be possible to identify fraud based on circular references of money transactions.
The literature shows that identity resolution between multiple offline data sources is well
researched. With the emerging social media networks the identity resolution between these
networks was also deeply researched. Both problems can be solved by existing solutions.
However, identity resolution between offline data and social media networks is not well researched,
yet.
The thesis is based on design research. In the different phases knowledge was gained trough
literature research, interviews and meetings. An artefact was developed to evaluate and optimise
the different algorithm variations. The final algorithm was then evaluated with a set of
test data.
In this work an algorithm is presented, which is able to identify social media users based
on bank customer information with an accuracy of 80%. The key to a successful identity
resolution lies within the similar data structure of the money transactions of a bank customer
and the contacts of a social media profile. The best identity resolution was achieved with
different weighting for the different attributes and by the normalisation of the transactions
in addition to the normalisation of the name based on the name frequency.
The conclusion of this work is that the thesis statement is confirmed. It is possible to
correctly identify a person within a social media network based on the information available
from a bank customer.
Schlagwörter
Fachgebiet (DDC)
004 - Computer Wissenschaften, Internet
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Publikationsstatus
Unveröffentlicht
Begutachtung
Keine Begutachtung
Open Access-Status
Lizenz
Zitation
STUDER, Michael, 2015. Identity resolution for fraud prevention. Hochschule für Wirtschaft FHNW. Verfügbar unter: https://doi.org/10.26041/fhnw-1173