• Title/Summary/Keyword: 이상거래 신속탐지

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Measures to minimize the side effects of the increased use of Artificial Intelligence Robo-Advisor (인공지능 로보어드바이저의 활성화에 따른 부작용 최소화를 위한 제도적 보완점)

  • Kim, Dong Ju;Kwon, Hun Yeong;Lim, Jong In
    • Journal of the Korea Convergence Society
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    • v.8 no.10
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    • pp.67-73
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    • 2017
  • In this study, we mainly inquired into structural reforms of the current legal system that could minimize the side effects and protect financial customers as the use of AI robo-advisor were increasing. First, regarding a specific reform, it is necessary to introduce and establish a rapid detection system for unusual transactions by the Robo-advisor management company, the strict liability of the management company, the management company's mandatory obligation to obtain indemnity insurance, and limited criminal penalties. Furthermore, it is necessary to establish a comprehensive basic law regarding AI. In this basic law, the promotion of the development of AI technology and the minimization of side effects should be dealt with in harmony with each other. Like the approach of this study, we hope that similarly detailed and practical discussions will be made on the AI era from various perspectives in the future.

A Study about Early Detection Techniques of Cyber Threats Based Honey-Net (허니넷 기반의 사이버위협 조기탐지기법 연구)

  • Lee, Dong-Hwi;Lee, Sang-Ho;J. Kim, Kui-Nam
    • Convergence Security Journal
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    • v.5 no.4
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    • pp.67-72
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    • 2005
  • The exponential increase of malicious and criminal activities in cyber space is posing serious threat which could destabilize the foundation of modern information society. In particular, unexpected network paralysis or break-down created by the spread of malicious traffic could cause confusion and disorder in a nationwide scale, and unless effective countermeasures against such unexpected attacks are formulated in time, this could develop into a catastrophic condition. In order to solve a same problem, this paper researched early detection techniques for only early warning of cyber threats with separate way the detection due to and existing security equipment from the large network. It researched the cyber example alert system which applies the module of based honeynet from the actual large network and this technique against the malignant traffic how many probably it will be able to dispose effectively from large network.

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