A Transparently-Secure and Robust Stock Data Supply Framework for Financial-Technology Applications

Lin Yi Jiang, Cheng Ju Kuo, Yu Hsin Wang, Mu En Wu, Wei Tsung Su, Ding Chau Wang, O. Tang-Hsuan, Chi Luen Fu, Chao Chun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently, program trading has become the mainstream of financial information technology. The current FinTech applications mainly encounter three technical issues, including scalability, long-time retrieval, and security. Many small-and-medium companies seek economical solutions, while the three above properties are still met. In this paper, we propose Send-and-Subscribe (SaS) framework, aiming at providing a secure and robust financial stock data retrieval repository. In our survey to the related industries, the proposed novel framework is the first work on addressing the above three issues for financial computing areas. Finally, we conduct a set of experiments to validate the proposed framework on the real-world Taiwan stock data. The test results show the proposed framework indeed satisfies the security, scalability, and long-query requirements, comparing to existing solutions.

Original languageEnglish
Title of host publicationIntelligent Information and Database Systems - 13th Asian Conference, ACIIDS 2021, Proceedings
EditorsNgoc Thanh Nguyen, Suphamit Chittayasothorn, Dusit Niyato, Bogdan Trawiński
PublisherSpringer Science and Business Media Deutschland GmbH
Pages616-629
Number of pages14
ISBN (Print)9783030732790
DOIs
Publication statusPublished - 2021
Event13th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2021 - Phuket, Thailand
Duration: 2021 Apr 72021 Apr 10

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12672 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2021
Country/TerritoryThailand
CityPhuket
Period21-04-0721-04-10

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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