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Fighting Spam in Dating Apps

dc.contributor.authorJugel, Uwe
dc.contributor.authorDe Dios Santos, Juan
dc.contributor.authorTrautmann, Evelyn
dc.contributor.authorBehrens, Diogo
dc.contributor.editorGrust, Torsten
dc.contributor.editorNaumann, Felix
dc.contributor.editorBöhm, Alexander
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorHärder, Theo
dc.contributor.editorRahm, Erhard
dc.contributor.editorHeuer, Andreas
dc.contributor.editorKlettke, Meike
dc.contributor.editorMeyer, Holger
dc.date.accessioned2019-04-11T07:21:23Z
dc.date.available2019-04-11T07:21:23Z
dc.date.issued2019
dc.description.abstractOnline dating allows for interactions between users with a high degree of connectivity. This digital form of interaction attracts spammers and scammers, who try to trick users to visit low-class competitors’ websites or steal the users’ money. Fortunately, each attacker leaves a footprint of its actions in the network. It is the task of an Anti-Spam system to detect these and punish the culprit. In this paper, we demonstrate how LOVOO fights such illegal activities using a system of modular, scalable, and fault-tolerant Anti-Spam components. We describe our stream-processing architecture and how it ensures flexibility and facilitates resource-efficient processing of the millions of events produced by hundreds of thousands of users.en
dc.identifier.doi10.18420/btw2019-22
dc.identifier.isbn978-3-88579-683-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/21707
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofBTW 2019
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) – Proceedings, Volume P-289
dc.titleFighting Spam in Dating Appsen
gi.citation.endPage373
gi.citation.startPage361
gi.conference.date4.-8. März 2019
gi.conference.locationRostock
gi.conference.sessiontitleIndustriebeiträge

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