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Authors: Dimitris Antoniou 1 ; Christos Makris 1 ; Despina Meridou 1 ; Giannis Tzimas 2 and Emmanouil Viennas 1

Affiliations: 1 University of Patras, Greece ; 2 Technological Educational Institute of Messolonghi, Greece

Keyword(s): Burst Web Visits, Click Fraud, Burst Tries.

Related Ontology Subjects/Areas/Topics: Access Control ; Data Engineering ; Databases and Data Security ; Information and Systems Security ; Internet Technology ; Web Information Systems and Technologies ; Web Security and Privacy

Abstract: As the use of the Web expands and appears almost everywhere in business’ practices, new algorithmic problems appear and need to be efficiently handled; one of them that has attracted the attention of both researchers and practitioners is click fraud. Click fraud can be defined as the practice of repetitively clicking on search ads without being actually interested in the content of the related links, with the intention of either increasing the Website’s profits or exhausting an advertiser’s budget. In this work, we propose an algorithm, which exposes suspect networks instead of single IPs, based on utilizing efficient data structures that have not been employed in previous works.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Antoniou, D.; Makris, C.; Meridou, D.; Tzimas, G. and Viennas, E. (2013). Designing a Click Fraud Detection Algorithm - Exposing Suspect Networks. In Proceedings of the 9th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-8565-54-9; ISSN 2184-3252, SciTePress, pages 93-98. DOI: 10.5220/0004369300930098

@conference{webist13,
author={Dimitris Antoniou. and Christos Makris. and Despina Meridou. and Giannis Tzimas. and Emmanouil Viennas.},
title={Designing a Click Fraud Detection Algorithm - Exposing Suspect Networks},
booktitle={Proceedings of the 9th International Conference on Web Information Systems and Technologies - WEBIST},
year={2013},
pages={93-98},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004369300930098},
isbn={978-989-8565-54-9},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Web Information Systems and Technologies - WEBIST
TI - Designing a Click Fraud Detection Algorithm - Exposing Suspect Networks
SN - 978-989-8565-54-9
IS - 2184-3252
AU - Antoniou, D.
AU - Makris, C.
AU - Meridou, D.
AU - Tzimas, G.
AU - Viennas, E.
PY - 2013
SP - 93
EP - 98
DO - 10.5220/0004369300930098
PB - SciTePress

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