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An Artificial Intelligence Approach to Financial Fraud Detection under IoT Environment: A Survey and Implementation
Joint Authors
Source
Security and Communication Networks
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-25
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Abstract EN
Financial fraud under IoT environment refers to the unauthorized use of mobile transaction using mobile platform through identity theft or credit card stealing to obtain money fraudulently.
Financial fraud under IoT environment is the fast-growing issue through the emergence of smartphone and online transition services.
In the real world, a highly accurate process of financial fraud detection under IoT environment is needed since financial fraud causes financial loss.
Therefore, we have surveyed financial fraud methods using machine learning and deep learning methodology, mainly from 2016 to 2018, and proposed a process for accurate fraud detection based on the advantages and limitations of each research.
Moreover, our approach proposed the overall process of detecting financial fraud based on machine learning and compared with artificial neural networks approach to detect fraud and process large amounts of financial data.
To detect financial fraud and process large amounts of financial data, our proposed process includes feature selection, sampling, and applying supervised and unsupervised algorithms.
The final model was validated by the actual financial transaction data occurring in Korea, 2015.
American Psychological Association (APA)
Choi, Dahee& Lee, Kyungho. 2018. An Artificial Intelligence Approach to Financial Fraud Detection under IoT Environment: A Survey and Implementation. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1214217
Modern Language Association (MLA)
Choi, Dahee& Lee, Kyungho. An Artificial Intelligence Approach to Financial Fraud Detection under IoT Environment: A Survey and Implementation. Security and Communication Networks No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1214217
American Medical Association (AMA)
Choi, Dahee& Lee, Kyungho. An Artificial Intelligence Approach to Financial Fraud Detection under IoT Environment: A Survey and Implementation. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1214217
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214217