• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.16 no.3
• /
• pp.155-161
• /
• 2016

In current algorithm trading system, general users need to program their algorithms using programing language and APIs provided from financial companies. Therefore, such environment keeps general personal investors away from using algorithm trading. Therefore, this paper focuses on developing user-friendly algorithm trading system which enables general investors to make their own trading algorithms without knowledge on program language and APIs. In the system, investors input their investment criteria through user interface and this automatically creates their own trading algorithms. The proposed system is composed with two parts: server intercommunicating with financial company server to send and to receive financial informations for trading, and client including user convenience-based user interface representing secondary indexes and strategies, and a part generating algorithm. The proposed system performance is proven through simulated-investment in which user sets up his investment strategy, algorithm is generated, and trading is performed based on the algorithm

• Journal of Convergence for Information Technology
• /
• v.10 no.11
• /
• pp.40-46
• /
• 2020

Safe security technology is required for the startup ecosystem according to the construction and service of a joint open platform in the financial sector. Financial industry standard open API recommends that payment-related fintech companies develop/apply additional security technologies to protect core API authentication keys in the mutual authentication process. This study proposes an enhanced API security protocol using multiple channels. It was designed in consideration of the compatibility of heterogeneous platforms by further analyzing the problems and weaknesses of existing open API related research. I applied the method of concealment to remove the additional security channels into a single channel of the existing security protocols. As a result of the performance analysis, the two-way safety of the communication session of the multi-channel and the security of the man-in-the-middle attack of the enhanced authentication key were confirmed, and the computational performance of the delay time (less than 1 second) in the multi-session was confirmed.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.26 no.6
• /
• pp.1527-1537
• /
• 2016

As increasing of smartphone penetration over the world, various mobile payment services have been emerged and fraud transactions have drastically increased. Although many financial companies have deployed security solutions to detect fraud transactions in on/off-line environment, mobile payment services still lack fraud detection solutions and researches. The mobile payment is mainly comprised of micro-payments and payment environment is different from other payments, so mobile-specialized fraud detection is needed. In this paper, we propose a FDS (Fraud Detection System) based on data mining for mobile payment services. The method of this paper is applied to the real data provided by a PG (Payment Gateway) company in Korea. The proposed FDS consists of two phases; (1) the first phase is focused on classifying transactions at high speed (2) the second is designed to detect abnormal transactions with high accuracy. We could detect 13 transactions per second with 93% accuracy rate.

• Journal of Convergence for Information Technology
• /
• v.9 no.4
• /
• pp.48-58
• /
• 2019

Recently, companies that have already the brand familiarity based on IT technology are changing the way of financial transactions by providing mobile simple payment service. It is difficult to apply the results of research conducted on traditional financial products, although the familiarity of the brand positively affects the brand attitude and intention of use in the preceding studies. To confirm this, this study verified whether mobile simple payment services of a company with high brand familiarity can copy the service easily and have intention of use through advertisement acceptance. The empirical results showed that the advertising of brand with high familiarity could be a motivation factor to imitate new services more easily. This results is meaningful in that it confirms the importance of strategic advertising because the more higher the brand's familiarity is, the more efficient the advertising can be used in the mobile simple payment service.

• Information Systems Review
• /
• v.25 no.4
• /
• pp.291-314
• /
• 2023

The concept of Mydata emerged with the expansion of the data economy. MyData aims to empower individuals by enhancing their right to self-determination over their personal data. The use of MyData is expected to enable the provision of innovative service in various fields. Since 2022, MyData has been introduced and actively used in the financial sector. In the future, not only financial institutions but also Bigtech and Fintech companies are expected to actively join and demonstrate rapid expansion. To ensure steady growth for MyData in the financial sector, it is necessary to assess acceptance behaviors from multiple perspectives. However, the majority of existing research solely focuses on positive acceptance. This study analyzed the impact of users' personal characteristics and innovation characteristics on both innovation resistance and acceptance resistance. The analysis revealed that personal and innovation characteristics contribute to an increase in distrust and innovation resistance in the MyData service. In addition, it has been confirmed that it can lead to actions such as delayed acceptance and refusal to accept. The results of this study offer both theoretical and practical insights into user behavior within the MyData service market.