Finding You on the Internet: an approach for finding on-line presences of people for fraud risk analysis

Henry Been; Maurice van Keulen

doi:10.5220/0004985006970706

Finding You on the Internet: an approach for finding on-line presences of people for fraud risk analysis

Henry Been, Maurice van Keulen

Databases (Former)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Fraud risk analysis on data from formal information sources, being a ‘paper reality', suffers from blindness to false information. Moreover, the very act of providing false information is a strong indicator for fraud. The technology presented in this paper provides one step towards the vision of harnessing real-world data from social media and internet for fraud risk analysis. We introduce a novel iterative search, monitor, and match approach for finding on-line presences of people. A real-world experiment showed that Twitter accounts can be effectively found given only limited name and address data. We also present an analysis of the ethical considerations surrounding the application of such technology for fraud risk analysis.

Original language	Undefined
Title of host publication	16th International Conference on Enterprise Information Systems (ICEIS 2014)
Publisher	SCITEPRESS
Pages	697-706
Number of pages	10
ISBN (Print)	978-989-758-027-7
DOIs	https://doi.org/10.5220/0004985006970706
Publication status	Published - Apr 2014
Event	16th International Conference on Enterprise Information Systems, ICEIS 2014 - Lisbon, Portugal Duration: 27 Apr 2014 → 30 Apr 2014 Conference number: 16

Publication series

Name
Publisher	SciTePress

Conference

Conference	16th International Conference on Enterprise Information Systems, ICEIS 2014
Abbreviated title	ICEIS
Country/Territory	Portugal
City	Lisbon
Period	27/04/14 → 30/04/14

Keywords

EWI-24687
IR-90690
METIS-304080

Access to Document

10.5220/0004985006970706

Cite this

@inproceedings{cd04fe08a6f241e9be3f6e64a7b04a6d,

title = "Finding You on the Internet: an approach for finding on-line presences of people for fraud risk analysis",

abstract = "Fraud risk analysis on data from formal information sources, being a {\textquoteleft}paper reality', suffers from blindness to false information. Moreover, the very act of providing false information is a strong indicator for fraud. The technology presented in this paper provides one step towards the vision of harnessing real-world data from social media and internet for fraud risk analysis. We introduce a novel iterative search, monitor, and match approach for finding on-line presences of people. A real-world experiment showed that Twitter accounts can be effectively found given only limited name and address data. We also present an analysis of the ethical considerations surrounding the application of such technology for fraud risk analysis.",

keywords = "EWI-24687, IR-90690, METIS-304080",

author = "Henry Been and {van Keulen}, Maurice",

note = "eemcs-eprint-24687 ; null ; Conference date: 27-04-2014 Through 30-04-2014",

year = "2014",

month = apr,

doi = "10.5220/0004985006970706",

language = "Undefined",

isbn = "978-989-758-027-7",

publisher = "SCITEPRESS",

pages = "697--706",

booktitle = "16th International Conference on Enterprise Information Systems (ICEIS 2014)",

}

Been, H & van Keulen, M 2014, Finding You on the Internet: an approach for finding on-line presences of people for fraud risk analysis. in 16th International Conference on Enterprise Information Systems (ICEIS 2014). SCITEPRESS, pp. 697-706, 16th International Conference on Enterprise Information Systems, ICEIS 2014, Lisbon, Portugal, 27/04/14. https://doi.org/10.5220/0004985006970706

TY - GEN

T1 - Finding You on the Internet: an approach for finding on-line presences of people for fraud risk analysis

AU - Been, Henry

AU - van Keulen, Maurice

N1 - Conference code: 16

PY - 2014/4

Y1 - 2014/4

N2 - Fraud risk analysis on data from formal information sources, being a ‘paper reality', suffers from blindness to false information. Moreover, the very act of providing false information is a strong indicator for fraud. The technology presented in this paper provides one step towards the vision of harnessing real-world data from social media and internet for fraud risk analysis. We introduce a novel iterative search, monitor, and match approach for finding on-line presences of people. A real-world experiment showed that Twitter accounts can be effectively found given only limited name and address data. We also present an analysis of the ethical considerations surrounding the application of such technology for fraud risk analysis.

AB - Fraud risk analysis on data from formal information sources, being a ‘paper reality', suffers from blindness to false information. Moreover, the very act of providing false information is a strong indicator for fraud. The technology presented in this paper provides one step towards the vision of harnessing real-world data from social media and internet for fraud risk analysis. We introduce a novel iterative search, monitor, and match approach for finding on-line presences of people. A real-world experiment showed that Twitter accounts can be effectively found given only limited name and address data. We also present an analysis of the ethical considerations surrounding the application of such technology for fraud risk analysis.

KW - EWI-24687

KW - IR-90690

KW - METIS-304080

U2 - 10.5220/0004985006970706

DO - 10.5220/0004985006970706

M3 - Conference contribution

SN - 978-989-758-027-7

SP - 697

EP - 706

BT - 16th International Conference on Enterprise Information Systems (ICEIS 2014)

PB - SCITEPRESS

Y2 - 27 April 2014 through 30 April 2014

ER -