A Survey on Credit Card Fraud Detection Techniques in Banking Industry for Cyber Security
Paper
Paper/Presentation Title | A Survey on Credit Card Fraud Detection Techniques in Banking Industry for Cyber Security |
---|---|
Presentation Type | Paper |
Authors | Btoush, Eyad (Author), Zhou, Xujuan (Author), Gururajan, Raj (Author), Chan, KC (Author) and Tao, XiaoHui (Author) |
Journal or Proceedings Title | Proceedings of the 8th IEEE International Conference on Behavioural and Social Computing (BESC 2021) |
Number of Pages | 7 |
Year | 2021 |
Place of Publication | Doha, Qatar |
ISBN | 9781665400237 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/BESC53957.2021.9635559 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/9635559 |
Conference/Event | 8th IEEE International Conference on Behavioural and Social Computing (BESC 2021) |
Event Details | 8th IEEE International Conference on Behavioural and Social Computing (BESC 2021) Event Date 29 to end of 31 Oct 2021 Event Location Doha, Qatar |
Abstract | The technological revolution is accelerating due to a number of key enabling technologies, such as Artificial Intelligence (AI)/Machine Learning (ML), big data, blockchain, cloud computing, Internet of Thing (IoT). With the broad adoption of ever-improving internet technology, cyber security is of great importance in the banking industry due to the rising number of cyber attacks and crimes. Credit card fraud is one of the most serious threats facing the banking industry worldwide. Credit card fraud is expanding at an alarming rate and has developed into a significant problem, particularly as the volume of financial transactions involving credit cards continues to expand. In this paper, we have reviewed various credit card fraud detection techniques that can strengthen the defense against a range of frauds. Additionally, we analysed the findings and reported the research challenges. Finally, we compared various techniques and highlighted their advantages and disadvantages. This will help provide guidance for determining the most appropriate techniques for credit card fraud detection. |
Keywords | Artificial intelligence; Banking; Credit card; Credit card fraud detection; Fraud; Machine learning |
ANZSRC Field of Research 2020 | 460407. System and network security |
460403. Data security and protection | |
461103. Deep learning | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Business |
School of Sciences | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q75zw/a-survey-on-credit-card-fraud-detection-techniques-in-banking-industry-for-cyber-security
1064
total views12
total downloads13
views this month0
downloads this month