| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Informacijske rešitve pri odkrivanju finančnih prevar
Authors:ID Zidarič, Nina Vita (Author)
ID Bobek, Samo (Mentor) More about this mentor... New window
Files:.pdf MAG_Zidaric_Nina_Vita_2023.pdf (1,69 MB)
MD5: DBEDFF3ED80F4529171B1CA9107DF6CC
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:EPF - Faculty of Business and Economics
Abstract:Tehnološki napredek je nedvomno spremenil način opravljanja bančnih storitev, saj ponuja udobje, učinkovitost in razširjene funkcije. Vendar pa je tehnologija poleg prednosti prinesla tudi precejšnje zaplete, ki jih morajo banke obvladovati. Naša naloga se osredotoči na informacijske rešitve za odkrivanje finančnih goljufij prevar, ki imajo ključno vlogo v zagotavljanju stabilnega bančnega okolja. V današnjem digitalnem okolju, v katerem bančne transakcije potekajo preko spleta, kršitve varnosti podatkov pa predstavljajo velika tveganja, so zanesljive rešitve za odkrivanje goljufij bistvenega pomena za banke, da zagotovijo varnost in celovitost svojega poslovanja. Te rešitve uporabljajo najsodobnejše tehnologije, kot so podatkovno rudarjenje, strojno učenje in umetno inteligenco, za analizo velikih količin finančnih podatkov in prepoznavanje vzorcev, ki kažejo na goljufivo ravnanje. S spremljanjem transakcij v realnem času in povezovanjem več virov podatkov te rešitve bankam omogočajo hitro odkrivanje sumljivih dejavnosti in sprejemanje potrebnih ukrepov za zmanjšanje morebitnih izgub. Poleg tega vključujejo napredno analitiko za prepoznavanje zapletenih vzorcev goljufij in prilagajanje razvijajočim se taktikam goljufij. Ključni vidik teh rešitev je tudi skladnost z bančnimi regulacijami, ki pomagajo bankam upoštevati predpise in zahteve za poročanje ter zagotavljajo preglednost in odgovornost. Z uvedbo informacijskih rešitev za odkrivanje finančnih goljufij se lahko banke proaktivno borijo proti finančnim goljufijam, ščitijo premoženje strank ter ohranjajo zaupanje svojih strank. S pomočjo obstoječe literature smo zasnovali konceptualno zasnovo informacijskega orodja, ki izhaja iz tehnike nadzorovanega učenja za odkrivanje transakcijskih prevar s kreditnimi karticami.
Keywords:Informacijske rešitve, bančni sektor, informacijski sistem, finančne prevare, sistem za odkrivanje goljufij, kreditne kartice
Place of publishing:Maribor
Publisher:N. V. Zidarič
Year of publishing:2023
PID:20.500.12556/DKUM-84286 New window
UDC:004.77:336.71
COBISS.SI-ID:167616003 New window
Publication date in DKUM:09.10.2023
Views:525
Downloads:116
Metadata:XML DC-XML DC-RDF
Categories:EPF
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:16.05.2023

Secondary language

Language:English
Title:Financial fraud detection information solution
Abstract:Technological advancements have revolutionized the banking industry, offering unparalleled convenience, efficiency, and enhanced features. However, alongside these benefits, technology has also introduced intricate challenges that banks must navigate. Our research focuses on the realm of cutting-edge IT solutions for financial fraud detection, which serves as a crucial pillar in establishing a secure and stable banking environment. In today's digital landscape, where online banking transactions thrive and the specter of data breaches looms large, robust fraud detection solutions are indispensable for banks to safeguard the sanctity and trustworthiness of their operations. These solutions leverage state-of-the-art technologies such as data mining, machine learning, and artificial intelligence to analyze vast volumes of financial data, unveiling telltale patterns indicative of fraudulent activities. By monitoring transactions in real-time and seamlessly integrating multiple data sources, these solutions empower banks to promptly identify suspicious behavior and take swift actions to minimize potential losses. Moreover, they incorporate advanced analytics to uncover intricate fraud patterns and swiftly adapt to ever-evolving fraudulent tactics. Compliance with rigorous banking regulations stands as a pivotal aspect of these solutions, enabling banks to diligently adhere to regulatory frameworks and reporting obligations, thereby upholding transparency and accountability. By embracing and deploying these IT solutions to combat financial fraud, banks can proactively protect customer assets, thwart illicit activities, and preserve unwavering customer trust. Drawing upon extensive scholarly research, we have devised a conceptual design for an innovative IT tool, founded on the principles of supervised learning techniques, specifically tailored to detect credit card transaction fraud
Keywords:Information solutions, banking sector, information system, financial fraud, fraud detection system, credit cards


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica