• Review of KIISC
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• v.26 no.4
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• pp.11-15
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• 2016

사이버 위협이 고도화, 지능화함에 따라 사이버 보안사고를 사전에 예방하는 것에는 한계가 있으며, 이제는 보안사고발생을 기정 사실화 하고 이로부터 얼마나 신속하게 사고를 탐지하고, 복구할 수 있는 역량을 구축하는 것이 필요하다. 이러한 현실적 필요성으로 인해 2010년경부터 레질리언스(resilience) 개념을 정보보안에도 접목시키려는 노력이 있었으며, 2016년 4월 템파에서 개최된 SC 27 회의에서도 사이버 레질리언스에 대한 국제표준화 작업이 많은 관심 속에서 논의되었다. 본 논문에서는 사이버 레질리언스에 대한 개념을 정리하고, 사이버 레질리언스 주요 모델과 구현 과제를 기술한다. 마지막으로 사이버 레질리언스 국제표준화 작업에서의 주요 이슈와 활동을 소개한다.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.137-144
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• 2017

Recently, cyber resilience has emerged as an important concept, recognizing that there is no perfect security. However, domestic researches on cyber resilience are insufficient. In this study, the 22 indicators for cyber resilience assessment were initially developed by the literature survey and discussions with security experts. The developed indicators are reviewed using the Focus Group Interview method in terms of materiality and feasibility of the indicators. This study derived meaningful and useful indicators for the assessment of cyber resilience, and it is expected to be used as a foundation for the future cyber resilience studies. In order to generalize and apply the results of this study in practice, it is necessary to carry out quantitative researches in the future.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.137-144
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• 2023

Cyberattack technology is evolving to an unpredictable degree, and it is a situation that can happen 'at any time' rather than 'someday'. Infrastructure that is becoming hyper-connected and global due to cloud computing and the Internet of Things is an environment where cyberattacks can be more damaging than ever, and cyberattacks are still ongoing. Even if damage occurs due to external influences such as cyberattacks or natural disasters, intelligent self-recovery must evolve from a cyber resilience perspective to minimize downtime of cyber assets (OS, WEB, WAS, DB). In this paper, we propose an intelligent self-recovery technology to ensure sustainable cyber resilience when cyber assets fail to function properly due to a cyberattack. The original and updated history of cyber assets is managed in real-time using timeslot design and snapshot backup technology. It is necessary to secure technology that can automatically detect damage situations in conjunction with a commercialized file integrity monitoring program and minimize downtime of cyber assets by analyzing the correlation of backup data to damaged files on an intelligent basis to self-recover to an optimal state. In the future, we plan to research a pilot system that applies the unique functions of self-recovery technology and an operating model that can learn and analyze self-recovery strategies appropriate for cyber assets in damaged states.