Journals / CMC / Vol.,
Table of Content

Research Article


Trust, Security and Privacy for FinTech

Submission Deadline: 31 October 2020 (closed)


This article has no abstract.


Trust, Security, Privacy, Fintech (Financial Technology)
  • Research Article

    BEST PAPER 2021

    Evaluating the Risk of Disclosure and Utility in a Synthetic Dataset

    Kang-Cheng Chen1, Chia-Mu Yu2,*, Tooska Dargahi3 CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 761-787, 2021, DOI:10.32604/cmc.2021.014984
    Abstract The advancement of information technology has improved the delivery of financial services by the introduction of Financial Technology (FinTech). To enhance their customer satisfaction, Fintech companies leverage artificial intelligence (AI) to collect fine-grained data about individuals, which enables them to provide more intelligent and customized services. However, although visions thereof promise to make customers’ lives easier, they also raise major security and privacy concerns for their users. Differential privacy (DP) is a common privacy-preserving data publishing technique that is proved to ensure a high level of privacy preservation. However, an important concern arises from the trade-off between the data utility… More >

    Graphic Abstract

Share Link

WeChat scan