https://m2.mtmt.hu/ eng 2026-04-15 01:05 BookChapter 34069759 APPROVED true Correspondence Address: Bereczki, N.; Department of Networked Systems and Services, Hungary; email: norman.bereczki@edu.bme.hu 0 false 2025-03-18T10:40:49.203+0000 2025-03-03T14:12:03.676+0000 2023-07-20T08:59:29.026+0000 true 10087553 Heincz Orsolya /api/admin/10087553 Admin true 2025-03-03T14:12:04.987+0000 2025-03-03T14:12:04.987+0000 true false true 25 25 /api/publicationtype/25 PublicationType 2 true 25 BookChapter true 10000312 Conference paper true 25 25 /api/publicationtype/25 PublicationType 2 true 25 BookChapter /api/subtype/10000312 Konferenciaközlemény SubType 228 true 10000312 true 1 /api/category/1 Category true 1 Bereczki, N. Novel Machine-Learning-Based Decision Support System for Fraud Prevention 75 88 75 14 2023 Due to the popularity of cloud services it is unavoidable, that not just legitimate, but fraudulent registrations will happen. For a service with good reputation it is essential to prevent fraud users. A common way is to filter these cases during the registration process by analysts. This paper presents a novel decision support system, that can recognise anomalous behavioural patterns and classify accounts based on the available data thus implementing an automated fraud prevention system. The process uses both supervised and unsupervised approaches, thus avoiding errors due to inaccurate labeling. As a supervised machine learning algorithm random forest classifier and logistic regression, as an unsupervised auto encoder is used. The developed flow gives a recommendation to the analyst whether a new user is potentially fraud or not and provides feedback on the accuracy of analysts’ work based on the results of the unsupervised approach. The newly developed process is able to supervise the decisions made by analysts thus improving the labeling process. The main goal of this paper is to present a new, more deterministic labeling workflow with the ability to provide feedback so it can improve the correctness of the training data set. 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(<span class="authorship-author-name">Simon Vilmos</span> <span class="authorAux-mtmt"> Mobil távközlés</span>) </a> </span> <span class="author-affil"><span title="Budapest University of Technology and Economics">BUTE</span>/<span title="Faculty of Electrical Engineering and Informatics">FEEI</span>/Department of Networked Systems and Services</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10042710"><a href="/gui2/?type=authors&mode=browse&sel=10042710" target="_blank">Wiandt B. (<span class="authorship-author-name">Wiandt Bernát</span> <span class="authorAux-mtmt"> számítógéphálózatok</span>) </a> </span> <span class="author-affil"><span title="Budapest University of Technology and Economics">BUTE</span>/<span title="Faculty of Electrical Engineering and Informatics">FEEI</span>/Department of Networked Systems and Services</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;34069759" target="_blank">Novel Machine-Learning-Based Decision Support System for Fraud Prevention</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors"> <div class="autype autype-1"> <span class="author-name" >Anandakumar Haldorai </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Arulmurugan Ramu </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Sudha Mohanram </span> (eds.) </div> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;33629644" target="_blank">5th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing : BDCC 2022 </a></div> <div class="conference"> Conference: <span class="location">Koyamuthur, Kojambuttúr, India <span class="conference-date">2022.12.16. - 2022.12.17.</span> </div> <span class="publishedAt">Edinburgh: <span class="publishers">Springer Basel; Springer Switzerland</span>, <span class="page"> pp 75-88 </span> <span class="year">(2023)</span> ( <span class="seriesTitle">EAI/Springer Innovations in Communication and Computing</span> <span class="issn">2522-8595</span> <span class="issn">2522-8609</span> ) </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Language: English | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1007/978-3-031-28324-6_7" target="_blank" href="https://doi.org/10.1007/978-3-031-28324-6_7"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="366617714" target="_blank" href="https://www.researchgate.net/publication/366617714"> ResearchGate publ. </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85163940821" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85163940821"> Scopus </a> </span> </span> <span class="bookchapter-ids">Book link(s):</span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://link.springer.com/book/9783031283239" target="_blank" href="https://link.springer.com/book/9783031283239"> Kiadónál </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9783031283239" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9783031283239"> 9783031283239 </a> </span> </span> <div class="mtid"><span class="long-pub-mtid">Publication: 34069759</span> | <span class="status-data status-APPROVED"> Published </span> <span class="long-book-mtid">Book: 33629644</span> Core | <span class="type-subtype">Chapter in Book ( Conference paper ) </span> | <span class="pub-category">Scientific</span> | <span class="publication-sourceOfData">Scopus</span> </div> <div class="funder"> (BME-NVA-02 (TKP2021)) </div> <div class="lastModified">Last Modified: 2025.03.03. 15:12 Erika Szatmári (BME admin4) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Comments</u>: Correspondence Address: Bereczki, N.; Department of Networked Systems and Services, Hungary; email: norman.bereczki@edu.bme.hu</pre> </div> </div>