Table of Content

Trust, Security and Privacy for FinTech

Submission Deadline: 31 October 2020 (closed)

Guest Editors

Kuo-Hui Yeh, National Dong Hwa University, Taiwan.
Weizhi Meng, Technical University of Denmark, Denmark.
Chunhua Su, University of Aizu, Japan.


The Financial Technology (FinTech) is an emerging paradigm moving forward at an ever-accelerating rate with unprecedented new financial services. With the rise in interest around the FinTech, the industry has introduced a variety of new technologies to drive innovation and meet consumer needs while simultaneously satisfying new regulatory requirements. This paradigm, however, shift calls for trust, security and privacy issues, such as trust management, data confidentiality, authentication and authorization, secure communication and computation, and individual privacy protection, to leverage services for new financial scenarios and phenomenon. Both the research community and industry must intensify the attention given to overcoming the trust, security and privacy challenges germane to FinTech to unleash its full potential. This leads us to explore the state-of-the-art research dealing with new techniques, concepts, and applications concerning the growing threats of trust, security and privacy issues for FinTech.


The special issue encompasses all aspects of single and multi-disciplinary research on the topics of trust, security and privacy for FinTech. The aim of the special issue is to make available a platform to provide the solution of world problems in industry, the environment and the community, and to foster interaction between researchers and developers with FinTech communities. Topics of interest include, but are not limited to the ones listed below.

• Risk assessment and mitigation for FinTech

• Trust management for FinTech

• Secure data management for FinTech

• Access control and authentication for FinTech

• Secure FinTech architecture

• Intrusion detection/prevention systems for FinTech

• Availability, recovery and auditing for FinTech

• New types of attack for FinTech

• Privacy and personal information protection for FinTech


Trust, Security, Privacy, Fintech (Financial Technology)

Published Papers

  • Open Access


    Evaluating the Risk of Disclosure and Utility in a Synthetic Dataset

    Kang-Cheng Chen, Chia-Mu Yu, Tooska Dargahi
    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 761-787, 2021, DOI:10.32604/cmc.2021.014984
    (This article belongs to this Special Issue: Trust, Security and Privacy for FinTech)
    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 >

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