• Review of KIISC
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• v.16 no.2
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• pp.18-25
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• 2006

네트워크 보안 상황인지 기술이란 현재 네트워크에서 보안과 관련하여 무슨 일이 발생하고 있는 지를 관리자에게 인지시켜 주는 기술이다. 이는 침입탐지시스템이나 방화벽에서 수행하는 잠재적인 공격자의 패킷을 필터링하거나 보고하는 것과는 달리 현재 네트워크에서 발생하고 있는 상황(침입 또는 공격 등)을 알려주는 것에 초점을 맞춘다. 네트워크 보안 상황인지 기술에는 데이터 선정 및 수집, 특성 인자 추출, 연관성 분석, 데이터마이닝, 패턴분석, 이벤트시각화 등과 같이 매우 다양한 세부 기술들이 있지만, 본 고에서는 이벤트 종류에 따른 시각화 기술들의 현황과 ETRI에서 개발한 Visual Scope에 대해 살펴보고자 한다.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.3
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• pp.34-39
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• 2006

This paper introduces a network security situation awareness tool using a traffic pattern map which facilitates recognizing a current network status by extracting and analyzing predetermined traffic features and displaying an abnormal or harmful traffic which deteriorates network performance. The traffic pattern-map consists of $26{\times}26$ intersections, on which the occupancy rate of the port having maximum occupancy is displayed as a bar graph. In general, in case of the Internet worm, the source address section on the traffic pattern map is activated. In case of DDoS the destination address section is activated.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2006.05a
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• pp.397-401
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• 2006

트래픽 패턴-맵(PatternMap)은 전체/세부 도메인별 보안 상황을 근원지/목적지 IP 주소 범위로 이루어진 그리드 상에 표현하여 관리자에게 네트워크 보안상황을 실시간으로 인지시키는 도구이다. 각각의 그리드는 근원지-목적지 간의 연결을 의미하며, 최다 점유를 차지하는 트래픽의 포트를 식별력을 갖는 색으로 표현한다. 이상 트래픽 현상의 검출은 가로 및 세로 열에 나타난 동일 색의 막대그래프(포트)의 개수와 그것의 합에 따라 결정되며, 그 결과로 선택된 세로 열과 가로 열을 활성화시켜 관리자에게 그 현상을 인지시킨다. 일반적으로 인터넷 웜이 발생할 경우에는 특정 근원지 열이 활성화되고, DDoS와 같은 현상은 목적지 열이 활성화되는 특징이 있다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.1
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• pp.147-162
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• 2017

With the advent of various services and devices in the change of IT environment, increasing the complexity of the data, and increasing scale of IT, Many organizations are experiencing the difficulty of analyzing and processing with a large amounts of data for security situations awareness. Therefore, propose the enhancement of security situational awareness through visualization in order to solve the problems of slow response and security situational awareness in organizational risk management. In this paper, we selected the evaluation factors and alternatives for effective visualization by considering user type, situational awareness step, and information visualization attributes through various studies on visualization. And established AHP layer model. Based on this, by using the AHP method for solving the problem of multi-criteria decision making, by calculating the factors for effectively visualizing and the importance of alternative by factor, try to propose a visualization method that can improve the effectiveness of the security situational awareness according to the purpose of visualization and the type of user.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.6
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• pp.1197-1213
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• 2014

Due to the increase in size of the computer network, the network security systems such as a firewall, IDS, IPS generate much more vast amount of information related to network security. So detecting signs of hidden security threats has become more difficult. Security personnels' 'Network Security Situational Awareness(NSSA)' is effectively determining the security situation of overall computer network on the basis of the relation between the security events that occur in the several views. The process of situational awareness is divided into three stages of the 'identification,' 'understanding' and 'prediction'. And 'identification' and 'understanding' are prerequisites for 'predicting' and the following appropriate responses. But 'identification' and 'understanding' in the vast amount of information became more difficult. In this paper, we propose Honeycomb security situational awareness visualization system that is designed to help NSSA in large-scale networks by using visualization techniques known effective to the 'identification' and 'understanding' stages. And we identified the empirical effects of this system on the basis of the 'VAST Challenge 2012' data.

• Convergence Security Journal
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• v.8 no.4
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• pp.81-89
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• 2008

This paper introduces u-learning service model based on context awareness. Also, it concentrates on agent-based WPAN technology, OSGi based middleware design, and the application mechanism such as context manager/profile manager provided by agents/server. Especially, we'll introduce the meta structure and its management algorithm, which can be updated with learning experience dynamically. So, we can provide learner with personalized profile and dynamic context for seamless learning service. The OSGi middleware is applied to our meta structure as a conceptual infrastructure.

• Convergence Security Journal
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• v.7 no.2
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• pp.101-106
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• 2007

Recently, Ubiquitous innovation is being promoted so that they can support the uHealthcare provide management to human's health. It is thus necessary to conduct such research on the medical care environment where there is a high demand for utilization of status information. In the current situation, there is a lack of research on measures of security processing and monitoring patient status information produced from rapid growth of infra within Medical environment. This study suggests a solution of using RFID to gather patient information such as inpatient information, location of treatment room, progress of patient, humidity, temperature, and diagnostic status, after which the information are protect and processed using security level method.

• The KIPS Transactions:PartC
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• v.16C no.6
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• pp.691-698
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• 2009

A mobile communication device is a small size of portable computer which provides communication service, such as smart phone and PDA. Currently, one of the biggest barriers in developing the mobile communication device is security issue. Even though there are excellent security functions which can remove the security issues, there is a problem that the mobile communication device can not be loaded with all the functions because it has low storage, poor computational power, and inconvenient user interface, compared to the desktop personal computer. This paper proposes a context-aware security reconfiguration scheme for effective security management of the mobile communication device. The scheme can provide the mobile communication device with the optimized security service which is most adapted to its current security context. Through the prototype implementation and the experiments of the proposed scheme, we have confirmed that the proposed scheme is excellent in terms of computing resource efficiency and usability, without degrading security level.

• The Journal of Society for e-Business Studies
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• v.15 no.4
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• pp.143-163
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• 2010

The purpose of this study is to investigate the user's perception of security risk and examine its impact on the usage of Knowledge Management Systems(KMS). The findings of this study are three-fold. First, the overall user's perception of security risk is not high. However, there is a considerably big difference in the perception of security risk among users. This finding means that user's perception of a security risk is not based on the actual security effects but one's individual perception. Another finding is that user's perception of a security risk has a negative impact on the usage of KMS through "trust", which is a mediating variable in our study. This finding corresponds with the existing theory that security risk is oneof the critical sources of trust, and trust is a critical factor of user's acceptance of KMS. Finally, the result of this study reveals that activities devoted to security do not decrease the effectiveness and productivity of KMS. Our long-held cognition that security activity hinders the effectiveness and productivity of an information system is not particularly applied to the KMS.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.723-726
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• 2013

최근 IT기술의 발전으로 인해 클라우드 컴퓨팅 기술이 도래됨과 동시에 다양한 분야에서 클라우드 컴퓨팅 기술을 융합하기 위한 연구가 진행되고 있다. 그 일환으로 데이터센터에도 클라우드 컴퓨팅 기술을 접목시켜 사용되고 있는 추세이다. 클라우드 데이터센터는 다양한 사용자들이 각기 다른 디바이스를 기반으로 데이터센터에 접근하여 저장된 데이터를 사용하여 업무를 수행하게 되며, 다양한 환경에서 사용자들이 동시다발적으로 저장된 데이터에 접근하게 된다. 클라우드 데이터센터는 시 공간에 관계없이 접근 가능하기 때문에 사용자의 상황이 자주 변경되며, 이에 따라 무분별한 데이터의 접근으로 인해 다양한 보안 위협이 발생할 수 있다. 본 논문에서는 이러한 보안 위협을 예방하기 위해 사용자의 상황을 인지하고, 그 상황에 따라 접근 여부를 결정하는 상황 인식 기반의 접근제어 모델을 제안한다.