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Title:
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NEW INSIGHT OF DATA MINING-BASED FRAUD
DETECTION IN FINANCIAL IT-SYSTEMS |
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Author(s):
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Salah Baïna and Ayoub Rihi |
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ISBN:
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978-989-8704-37-5 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2022 |
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Edition:
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Single |
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Keywords:
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Financial Fraud, Fraud Detection, Machine Learning, Money Laundering, Internet Fraud, Credit Cards Fraud |
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First Page:
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73 |
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Last Page:
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80 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Nowadays, money exchanges are oriented to be more digitized in order to reduce personal contacts and maintain safety
from the pandemic covid-19.
The most important aspect of any financial institute is to be secure and protected from any suspicious action that can harm
the security system and be ready for any type of fraud that can happen such as money laundering, internet frauds, credit
card frauds or any other financial fraud. In this paper we present a state of the art of the newest and the most efficient
strategies that help financial institutes to be well secure, more reliable, starting from a state of the art of existing ML
algorithms used and ending by a benchmark of those algorithms. |
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