Essays about: "Fraud in banks"
Showing result 1 - 5 of 14 essays containing the words Fraud in banks.
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1. Credit Card Fraud Detection by Nearest Neighbor Algorithms
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : As the usage of internet banking and online purchases have increased dramatically in today’s world, the risk of fraudulent activities and the number of fraud cases are increasing day by day. The most frequent type of bank fraud in recent years is credit card fraud which leads to huge financial losses on a global level. READ MORE
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2. Navigating the Era of Open Banking: The Opportunities and Threats of Open Banking - a Case Study of Nordea and the Open Banking Ecosystem
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : Regulatory changes and shifts in technology enabled the rise of Open Banking. In this paper, we examine the opportunities and threats implied by Open Banking on traditional banks and the strategies on how to navigate the era of Open Banking, using Nordea as an example. READ MORE
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3. Exploring the Use of Blockchain Technology to Address Cybersecurity Risks in Banking and Finance
University essay from KTH/Hälsoinformatik och logistikAbstract : The growing reliance on digital services has led to an escalation in cyber risks and attacks targeting banks and financial institutions. Such cyber threats necessitate innovative solutions. But to achieve it, one needs to overcome the challenges of seeking reliable information on utilizing blockchain technology to combat cyber-attacks. READ MORE
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4. Credit Card Transaction Fraud Detection Using Neural Network Classifiers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With increasing usage of credit card payments, credit card fraud has also been increasing. Therefore a fast and accurate fraud detection system is vital for the banks. To solve the problem of fraud detection, different machine learning classifiers have been designed and trained on a credit card transaction dataset. READ MORE
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5. First cycle, 15 credits Machine Learning based Clustering of Bank Card Consumers : Identification of risk groups for fraud detection purposes
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : To safeguard consumers, banks have developed machine learning based fraud detections systems which work to prevent fraudulent card transactions from occurring. The goal of this report is to improve these systems by trying to segment consumers into different risk groups. READ MORE