I am looking for a thesis topic around credit card fraud?

Marble Ombati

Credit card fraud is a significant issue that affects both consumers and financial institutions. Here are a few potential thesis topics related to this topic:

Machine learning techniques for detecting credit card fraud: This topic could involve researching and developing machine learning algorithms to detect fraudulent credit card transactions. This could include studying various types of fraud, such as card-not-present fraud and account takeover fraud, and developing models to detect these behaviors.

An analysis of credit card fraud trends: This topic could involve analyzing data on credit card fraud to identify trends and patterns. This could include looking at the types of fraud that are most common, the demographics of fraudsters, and the time frames during which fraud is most likely to occur.

The impact of new payment technologies on credit card fraud: This topic could involve researching the impact of new payment technologies, such as mobile payments and digital wallets, on the rate of credit card fraud. This could include examining the security measures that are in place to prevent fraud, and the effectiveness of these measures.

The role of consumers in preventing credit card fraud: This topic could involve researching the actions that consumers can take to prevent credit card fraud, and how effective these actions are. This could include looking at the use of fraud alerts and security features offered by credit card issuers, as well as the importance of good financial management practices.

Evaluating the effectiveness of credit card fraud prevention measures: This topic could involve evaluating the effectiveness of various measures that are used to prevent credit card fraud, such as fraud detection systems and security protocols. This could include comparing the performance of these measures, and making recommendations for improvements.

These are just a few examples of potential thesis topics related to credit card fraud. Regardless of the specific topic you choose, it is important to approach your research with a critical eye, and to consider the implications of your findings for the financial industry and for consumers.

Rahul Pandya

Hey Marble Ombati,

As suggested by Mr. Janak Trivedi there are multiple ways to approach a dataset and perform analysis with either ML algorithms or make use of Deep Learning methodologies.

The biggest challenge is that the datasets are highly imbalanced and need a thorough pre-processing followed by an algorithmic approach.

Credit card frauds can happen in all sorts of cases and situations. So, consideration of all sorts of situations and grouping them by collection of data from varied sources, and then applying the above possible method can be a deeply interesting and highly informative topic to research.

Here are some articles and information I would like to suggest:

1. (PDF) Heuristic Approach of Over-Sampling and Under- Sampling in Fraud Detection (researchgate.net)

2. (PDF) Credit card fraud and detection techniques: A review (researchgate.net)

3. CREDIT CARD SECURITY AND E-PAYMENT (Enquiry into credit card fraud in E-Payment) (diva-portal.org)

4. Credit card fraud - Master's thesis - Dissertation (dissertationtopic.net)

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