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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.identifier.isbn978-3-88579-683-1
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/21707
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.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
mci.reference.pages361-373
mci.conference.sessiontitleIndustriebeiträge
mci.conference.locationRostock
mci.conference.date4.-8. März 2019
dc.identifier.doi10.18420/btw2019-22


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