• Journal of Convergence for Information Technology
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• v.7 no.1
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• pp.35-42
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• 2017

In this paper, we propose to implement an integrated monitoring system using log data to reduce the load of analysis task of information security officer and to detect information leak in advance. To do this, we developed a transmission module between different model DBMS that transmits large amount of log data generated by the individual security system (MSSQL) to the integrated monitoring system (ORACLE), and the transmitted log data is digitized by individual and individual and researches about the continuous inspection and measures against malicious users when the information leakage symptom is detected by using the numerical data.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10a
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• pp.481-483
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• 2004

NIDS(Network Intrusion Detection System)는 공격 탐지 과정에서 대량의 로그가 발생하게 되는데 일반적인 침입탐지 시스템에서 탐지되어 하루에 남는 로그만으로도 시스템에 막대한 양을 차지한다 이러한 문제점은 관리자에게 많은 부담을 줄뿐만 아니라 그렇게 남겨진 로그에는 오탐율(False Positive) 비율이 높기 때문에 관리자가 실제로 위협적인 침입을 식별하고, 침입 행위에 대한 빠른 대응을 어렵게 만든다. 그러므로 NIDS와 특정 호스트가 가지고 있는 보안상 취약한 부분을 비교하여 판단할 수 있는 침입탐지시스템을 선택, 운용하는 것은 관리측면이나 대응측면에서 매우 중요한 일이라고 할 수 있다. 본 논문에서는 NIDS와 해당 호스트 취약점 정보를 이용해 작성된 데이터베이스(HVIDB : Host Vulnerability Information Database)를 이용하여 호스트의 취약성에 관한 로그만을 최종 경고해줌으로써 오탐율의 양을 감소시키고 호스트 보안성의 향상과 관리자가 로그분석 등의 IDS 업무를 효과적으로 할 수 있는 모델을 제시한다.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.108-116
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• 2019

In this paper, we propose a method to apply artificial intelligence technology efficiently to integrated security control technology. In other words, by applying machine learning learning to artificial intelligence based on big data collected in integrated security control system, cyber attacks are detected and appropriately responded. As technology develops, many large capacity Is limited to analyzing individual logs. The analysis method should also be applied to the integrated security control more quickly because it needs to correlate the logs of various heterogeneous security devices rather than one log. We have newly proposed an integrated security service model based on artificial intelligence, which analyzes and responds to these behaviors gradually evolves and matures through effective learning methods. We sought a solution to the key problems expected in the proposed model. And we developed a learning method based on normal behavior based learning model to strengthen the response ability against unidentified abnormal behavior threat. In addition, future research directions for security management that can efficiently support analysis and correspondence of security personnel through proposed security service model are suggested.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.4
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• pp.109-115
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• 2016

Life log started with the simple purpose of recording or sharing mainly data regarding one's personal life, but with the introduction of advanced specialized analytic methods by many corporations, a new type of business based on the life log recently emerged, with an aim of improving the quality of people's personal lives. In spite of the indispensable advantages, however, personal health lifelog service brings critical challenges that cannot be avoided from user side if the security of the data is concerned. The problem of user's privacy infringement and leaking user's sensitive medical information is increasing with the revitalization of personal health lifelog services. In this paper, we propose an information security reference model for the personal health lifelog services. Our proposal can contribute to increase the related industry to cultivate new market by suggesting the clear announcement of the guidelines using privacy protection reference model for user-specific healthcare services which uses personal lifelog.

• Review of KIISC
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• v.23 no.6
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• pp.90-99
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• 2013

최근 급증하고 있는 고도화된 사이버 공격은 많은 피해를 낳고 있다. 이러한 문제를 미연에 방지하기 위해 각종 보안 솔루션의 도입으로 보안 시스템 환경이 복잡하게 변하게 되었다. 보안 관리자는 복잡한 환경으로 인해 보안 시스템 관리의 어려움으로 우수한 보안 솔루션이 있음에도 위협에 제대로 대처하지 못하고 있다. 본 논문에서는 보안시스템을 체계적으로 관리할 수 있고, IT 시스템에서 생성되는 이벤트와 로그를 통합해 늘어나고 있는 보안 위협에 적절한 대응이 가능하도록 도와주는 보안 시스템 관리 솔루션인 SIEM(Security Information and Event Management)에 대해 알아보고자 한다. 고도화되고 있는 사이버 공격과 복잡해진 클라우드 컴퓨팅, 데이터가 대량화됨에 따라 생겨난 빅데이터, 갈수록 강화되고 있는 컴플라이언스 요구사항을 만족할 수 있는 방안을 모색해봄으로써 SIEM이 앞으로 나아가야 할 방향에 대해 알아보고자 한다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.3
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• pp.591-603
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• 2018

Windows Event Log is a format that records system log in Windows operating system and methodically manages information about system operation. An event can be caused by system itself or by user's specific actions, and some event logs can be used for corporate security audits, malware detection and so on. In this paper, we choose actions related to corporate security audit and malware detection (External storage connection, Application install, Shared folder usage, Printer usage, Remote connection/disconnection, File/Registry manipulation, Process creation, DNS query, Windows service, PC startup/shutdown, Log on/off, Power saving mode, Network connection/disconnection, Event log deletion and System time change), which can be detected through event log analysis and classify event IDs that occur in each situation. Also, the existing event log tools only include functions related to the EVTX file parse and it is difficult to track user's behavior when used in a forensic investigation. So we implemented new analysis tool in this study which parses EVTX files and user behaviors.

• KIISE Transactions on Computing Practices
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• v.22 no.7
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• pp.332-337
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• 2016

System administrator or security managers need to collect logs of computing device (desktop or server), which are used for the purpose of cause-analysis of security incident and discover if damage to system was either caused by hacking or computer virus. Furthermore, appropriate log maintenance helps preventing security breech incidents through identification of vulnerability. In addition, it can be utilized for prevention of data leakage through the insider. In the paper, we present log collection system developed using open source supported by commands and basic methods of Windows. Furthermore, we aim to collect log information to enable search and analysis from diverse perspectives and to propose a way to integrate with open source-based search engine system.

• Journal of Digital Forensics
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• v.12 no.3
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• pp.9-17
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• 2018

Smartphone have become commonplace because they have the advantage of facilitating communication with others and making life easier. The smartphone's system log stores various data related to the user actions. Since 2015, Huawei has been growing rapidly, with its sales volume increasing and it was ranked second in the world in three years. The use of Huawei smartphones by many users means that Huawei smartphones are likely to be used to detect traces of criminal investigations, so we need to study system logs of Huawei smartphones. Therefore, in this paper, we analyze system log which is forensically meaningful for Huawei smartphone. We also propose how to use logs in forensic investigation.

• Review of KIISC
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• v.30 no.5
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• pp.101-109
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• 2020

온라인게임은 부정로그인 및 게임봇 (Game BOT) 탐지 등 서비스에 악영향을 주는 이상징후를 조기에 탐지해야 하는 서비스 분야이다 보니, 데이터기반 보안 (Data-Driven Security)이 상당히 오랜 기간 자생적으로 구축이 되어왔다. 온라인 게임은 초당 동시접속이 800만~1천만에 육박하는 게임도 시장에 빈번히 존재하기 때문에, 게임유저들의 로그데이터를 빅데이터 기술을 접목한 데이터 분석이 필수적이다. 본고에서는 온라인게임 분야에 존재하는 다양한 위협요소 중 하나인 게임봇 및 작업장 탐지에 적용된 데이터기반 보안 기술들에 대해 조사하고 향후 온라인게임분야에서의 데이터기반 보안의 연구 방향을 제시해 보고자 한다.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.12
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• pp.463-478
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• 2014

Portal site is not only providing search engine and e-mail service but also various services including blog, news, shopping, and others. The fact that average number of daily login for Korean portal site Naver is reaching 300 million suggests that many people are using portal sites. With the increase in number of users followed by the diversity in types of services provided by portal sites, the attack is also increasing. Most of studies of password authentication is focused on threat and countermeasures, however, in this study, we analyse the security threats and security requirement of membership, login, password reset first phase, password reset second phase. Also, we measure security score with common criteria of attack potential. As a result, we compare password authentication system of domestic and abroad portal sites.