• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.239-242
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• 2020

지구온난화 및 기후상승으로 폭염발생 일수 및 강도가 증가됨에 따라 온열질환으로 인한 인명피해가 꾸준히 증가되고 있다. 온열질환 발생은 폭염일수가 증가할수록 증가됨에 따라 폭염 취약 계층에 대한 피해 대응이 요구되고 있다. 본 연구에서는 폭염 취약 계층을 대상으로 폭염으로 인한 피해를 감소시키고자 온열질환용 웨어러블 디바이스 기반 실시간 활력 징후 데이터 수집 및 분석을 통해, 온열질환 의심환자 이벤트 발생에 대한 신속한 대응이나 여름철 생활지수를 통해 휴식을 권장하도록 지원할 수 있는 온열질환 모니터링 시스템을 제안한다.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.42 no.3
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• pp.303-309
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• 2016

The human skins had a lot of changes as aging. The synthesis of collagens and elastic fibers were reduced and the expression of matrix metalloproteinase (MMPs) was increased in the dermis. These changes have been known to be responsible for skin wrinkle formation. In this study, we tried to develop pre-indicator of inner skin aging, and investigated the effect of the cream product containing Gynostemma pentaphyllum gypenoside fraction (Gynostemma pentaphyllum gypenoside cream). 21 ~ 34 years old 52 Korean female volunteers without crow's feet were chosen for this clinical study. The starting point of inner skin aging was confirmed through dermal density measurement, even though outside skin wrinkles were not observed. In addition, 4 and 8 weeks treatment of G. pentaphyllum gypenoside cream significantly increased age-related reduction of dermal density. These results suggest that the evaluation of dermal density can be used as pre-indicator of skin aging. Furthermore, G. pentaphyllum gypenoside fraction is a potential anti-wrinkle agent for prevention and treatment of skin aging.

• The Journal of Society for e-Business Studies
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• v.19 no.4
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• pp.119-134
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• 2014

Financial companies are providing electronic financial transactions through a variety of user terminals for non-face-to-face services such as Internet banking, smart phone banking, or etc. However, in these services users' security awareness and the limitations of technical responses has frequently caused the financial loss so that fundamental protection measures are required from financial authorities. Accordingly, financial industry is planning and establishing systems that block unusual financial transactions by comprehensively analyzing and detecting user's electronic information, access information, transaction information, and so on in accordance with "Guide for building Unusual financial transactions detection system" to prevent the financial loss that happens in electronic financial transactions. In this paper, we analyze case studies of unusual financial transactions detection and prevention system that is built and operated in financial companies and current operating status and propose effects of the accident prevention and security measures later.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.5
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• pp.957-966
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• 2020

According to the recent statistics of the National Industrial Security Center, about 80% of the confidential leak are caused by former and current employees in the case of domestic confidential leak accidents. Most of the information leak incidents by these insiders are due to poor security management system and information leak detection technology. Blocking confidential leak of insiders is a very important issue in the corporate security sector, but many previous researches have focused on responding to intrusions by external threats rather than by insider threats. Therefore, in this research, we design an internal information leak scenario to effectively and efficiently detect various abnormalities occurring in the enterprise, analyze the key indicators of the leak symptoms derived from the scenarios by using data analytics and propose a model that accurately detects leak activities.

• Convergence Security Journal
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• v.21 no.1
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• pp.45-53
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• 2021

When the security monitoring system is performed in a separation network, there is little normal anomaly detection in internal networks or high-risk sections. Therefore, after the establishment of the security network, a model is needed to evaluate state-of-the-art cyber threat anomalies for internal network in separation network to complete the optimized security structure. In this study, We evaluate it by generating datasets of cyber vulnerabilities and malicious code arising from general and separation networks, It prepare for the latest cyber vulnerabilities in internal network cyber attacks to analyze threats, and established a cyber security test evaluation system that fits the characteristics. The study designed an evaluation model that can be applied to actual separation network institutions, and constructed a test data set for each situation and applied a real-time security assessment model.

• Convergence Security Journal
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• v.21 no.2
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• pp.89-96
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• 2021

In recent years, the fear of terrorism due to 'Lone Wolf' terrorism is spreading in the United States and Europe. The lone wolf terrorism, which carries out terrorism independently, without an organization behind it, threatens social security around the world. In Korea, those who have explosive national/social dissatisfaction due to damage caused by national policies, and delusional mental disorders can be classified as potential 'Lone Wolf' terrorists. In 'Lone Wolf' terrorism, unlike organized terrorism, it is difficult to identify signs of terrorism in advance, and it is not easy to identify terrorist tools and targets. Therefore, in order to minimize the damage caused by 'Lone Wolf' terrorism, it is necessary to architect an independent monitoring and tracking system for the police's quick response. In this paper, we propose to architect response system that can collect information from organizations that can identify the signs of potential 'Lone Wolf' terrorism, monitor the continuity of abnormal behavior, and determine the types of 'Lone Wolf' terrorism that can happen as continuous abnormal behaviors.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.971-980
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• 2023

Safety accidents and industrial accidents are constantly occurring in existing industrial sites. In addition, the probability of accidents occurring due to physical and mental fatigue of workers is increasing. Accordingly, it is required to introduce systematic management and various systems for the safety of workers. In this paper, by developing an access control system using bio-metric information at industrial sites, we develop efficient health management and access control management functions for workers. Workers are identified through face recognition for access control, and health status is determined through iris recognition. It aims to improve accuracy and develop a more efficient management system by diagnosing signs of health abnormalities through the congestion of the iris and eyes of workers. Finally, the contents of the development consist of an on-site access control system, an access control program for administrators, and a main server system that diagnoses signs of abnormal health of users.

• Review of KIISC
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• v.22 no.8
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• pp.15-20
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• 2012

최근 고도의 지능적인 대량 공격이 지속적으로 발생하고 있으며, 다형성 악성코드 공격 증가로 인하여 개인과 기업 및 국가 기반시설까지 사이버위협에 노출되고 있다. 현재, 국가차원의 대응센터에서는 이러한 위협 대응을 위해 공격 위험도를 CVSS(Common Vulnerability Scoring System) 취약점 등급시스템으로 점수화하여 단계적으로 경보를 발령한다. 하지만 현재의 경보발령 체계가 공격이 이루어진 후 사후 대책으로 제공되고 있어, 공격발생 전에 공격 징후를 포착하거나 공격량 예측과 같은 전역 네트워크 차원의 위협에 대한 대응 기술은 미비하다. 본 논문에서는 최근 봇넷 기반의 공격들이 많아지고 있는 상황에서 봇넷을 네트워크 위협 전조증상으로 정의하고, NCSC(National Cyber Security Center), KrCERT와 같은 국가기관의 경보등급 산정체계를 기반으로 전역차원의 예 경보 발령 및 공격량 예측 시스템에 대해 연구한다.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.13-14
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• 2013

급경사지 붕괴위험지역의 안전관리를 위한 계측자료관리가 일부 시행되고 있으나, 적절한 관리기준과 계측기설치 기준 등이 제대로 갖추어지지 않고 이를 제시하고 있는 매뉴얼 및 지침서가 많이 부족한 것이 현실이다. 관리기관 재난관리 담당자들은 붕괴위험지역의 지반 침하, 붕괴 등에 따른 징후 파악 및 재해가 발생되어도 신속한 상황파악이 어려운 상태이다. 또한 계측관리에 전문지식이 없어 계측결과를 통보 받고도 적절한 판단이나 대책을 세울 수 없는 상황이다. 일부 급경사지에 계측, 자료관리 시스템이 단위 현장별로 구축되어 있으나, 계측인력 및 전문 인력의 부족과 예산확보 등의 어려움으로 통합관리 인프라가 전무한 상태이다. 따라서 재난 발생 시 신속한 재난 정보를 일반 국민들에게는 제공하지 못하고 있다. 이에 본 논문에서는 급경사지 붕괴위험지역 안전관리 및 인명피해예방을 위한 통합관리 시스템인 USN 기반 조기감지시스템의 모델을 설계, 제시하고자 한다.

• The Transactions of the Korea Information Processing Society
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• v.5 no.12
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• pp.3077-3087
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• 1998

본 논문에서는 분산 멀티미디어 환경에서 데이터 크기의 가변성과 네트워크의 부하변동으로 인하여 발생하는 미디어 불연속성을 방지하면서 동기화를 보장하는 클라이언트 버퍼 안정화 알고리즘을 제안한다. 제안 알고리즘은 클라이언트의 상황에 맞도록 산출된 미디어스크림의 제어량과 제어시간이 포함된 제어 메시지를 멀티미디어 서버로 전송함으로써 클라이언트 버퍼를 안정화 시킬 수 있다. 클라이언트는 주기단위로 수신측의 자원과 네트워크의 상태를 예측하여 오버런 혹은 스타베이션이 발생할 징후가 보이면 제어 메시지를 생성하는데, 제어값들은 클라이언트의 상황과 멀티미디어 서버의 미디어스트림전송 메커니즘 및 네트워크의 상태를 고려하여 생성된다. 본 알고리즘의 특징은 미디어스트림의 과도한 드롭으로 인한 질 저하를 방지하며, 특히 네트워크의 부하변동이 클 경우에는 빠른 속도로 시스템을 안정화시킨다.