Model Design for Reduce OTP Reauthorization Based on Euclidean Distance

Yang Liu; 백현철; PARK JAE HEUNG; KimSangBok

doi:10.34163/jkits.2017.12.5.014

Nowadays，intelligence communications technology is developing rapidly in a cloud computing environment with big data services. With the change of the network environment, the protection function for increasing information exchange process on the Internet and important intelligence materials needs to be further developed. Intelligence protection based on the internet has OTP authentication and encryption technology for network for the detection technology with non-normal general access. But the weaknesses of these technologies are being discovered in a variety of attack technologies. In particular, attackers with high-end illegal access technologies frequently try IP spoofing attacks. That is, it uses the cloud hosting intelligence that can build mutual trust to constantly try increase the trust relationship in the cloud service environment by illegal attacks. In order to improve the accessibility of information service in the cloud computing environment, this study analyzes the traceback information by using the Euclidean distance law in mathematics. In this study, the IP value of each hop is dually grouped, and the Euclidean distance is calculated by the two sets of coordinates. The chart changes composed of these datas are then calculated. Then the study will analyze and change the appropriate information for OTP authentication or encryption, and then obtain information to reduce the implementation process of OTP authentication.

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* 2022년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

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