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Security and Communication Networks
Volume 2018, Article ID 5483472, 15 pages
https://doi.org/10.1155/2018/5483472
Research Article

An Artificial Intelligence Approach to Financial Fraud Detection under IoT Environment: A Survey and Implementation

Center for Information Security Technologies (CIST), Korea University, Seoul 02841, Republic of Korea

Correspondence should be addressed to Kyungho Lee; rk.ca.aerok@eelnivek

Received 7 March 2018; Revised 8 June 2018; Accepted 25 June 2018; Published 25 September 2018

Academic Editor: Ilsun You

Copyright © 2018 Dahee Choi and Kyungho Lee. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • J.B. Heaton, and Jan Witte, “Generating Synthetic Data to Test Financial Strategies and Investment Products for Regulatory Compliance,” SSRN Electronic Journal, . View at Publisher · View at Google Scholar
  • J.B. Heaton, and Jan Witte, “Machine-Learning-Generated Synthetic Data for Regulation Best Interest Compliance,” SSRN Electronic Journal, . View at Publisher · View at Google Scholar