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학술논문(사)디지털산업정보학회 논문지2019.03 발행KCI 피인용 1

FinTech를 위한 다자간 컴퓨팅 암호기술

Secure Multi-Party Computation of Technology FinTech

박찬길(숭실사이버대학교); 최영화(한국폴리텍대학); 이철희(한국폴리텍대학교)

15권 1호, 61~66쪽

초록

FinTech has expanded to the extent that not only businesses but almost everyone can feel the impact. The spread of the scope of use has introduced a variety of new financial services that are changing the way we live. In these environments, it is important to develop reliable security measures to protect against cyber attacks. The number of mobile financial transactions in the financial sector is also increasing, making security vulnerable. In this study, we studied security through mutual authentication method that can safely handle financial security and focused on FinTech’s security processing through multi-party mutual authentication method that strongly prevents leakage of information even in the event of continuous and sophisticated attacks.

Abstract

FinTech has expanded to the extent that not only businesses but almost everyone can feel the impact. The spread of the scope of use has introduced a variety of new financial services that are changing the way we live. In these environments, it is important to develop reliable security measures to protect against cyber attacks. The number of mobile financial transactions in the financial sector is also increasing, making security vulnerable. In this study, we studied security through mutual authentication method that can safely handle financial security and focused on FinTech’s security processing through multi-party mutual authentication method that strongly prevents leakage of information even in the event of continuous and sophisticated attacks.

발행기관:
(사)디지털산업정보학회
분류:
기타컴퓨터학

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FinTech를 위한 다자간 컴퓨팅 암호기술 | (사)디지털산업정보학회 논문지 2019 | AskLaw | 애스크로 AI