• Title/Summary/Keyword: security rule

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A Study on the License & Training System of Security Agent in Japan (일본 민간경비원의 자격 및 훈련제도에 관한 연구)

  • Jo, Yong-Chul;Kim, Soon-Seok
    • Korean Security Journal
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    • no.16
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    • pp.339-356
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    • 2008
  • This study discusses some topics of Security License System and Security Training System in Japan. Especially, the Security License must be very influence that the growth of security industry. And it's true that a few enlightened approach to cooperation between police and private security has already begun to take place in some divisions. The most important thing of the License Test System in Japan is the method of test rule and test section. Then the training systems of the security agent have been very impressive rule and the system for security agent. Today, the market of the security industry in Korea have been going to develop and extend to the future industry. The assignments that are leaved to security industry in Korea must be that the improvement of the License & Training System of Security Agent in Korea should be made effort by the security industry and the public section that looks like the police.

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A Study on Performance improvement Scheme for Source Coding using Rule Base (Rule Base를 이용한 시큐어코딩 프로그램 성능 향상 기법 연구)

  • Kang, Jungho;Jang, Jae-Youl;Kim, Do-moon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.859-861
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    • 2015
  • 최근 소프트웨어는 IT 산업이 발달함에 따라 스마트 단말, 가전기기, 의료기기 등 다양한 분야에서 활용되고 있으며, 소프트웨어 사용이 증가함에 따라 이를 악용한 다양한 공격 사례가 발생하였다. 이를 위해 행정안전부에서는 2011년부터 시큐어코딩을 단계적으로 의무화 하였으며 이에 따라, 시큐어코딩 시장이 증가하고 있는 추세이다. 본 논문에서는 기존 시큐어코딩 프로그램에서 신규 취약점에 능동적으로 대응이 가능한 Rule Base를 기반으로 시큐어코딩 프로그램 성능 향상 방안을 제안한다.

A Study on the Operation and Personal Information Management of Public and Private Kindergarten Homepages (공·사립 유치원 홈페이지의 운영 및 개인정보 관리 실태 연구)

  • Kim, Jong Min;Chun, Hui Young;Choi, Eun A
    • Korean Journal of Child Studies
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    • v.37 no.6
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    • pp.119-132
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    • 2016
  • Objective: The purpose of this study was to analyze the operation and personal information management of public and private kindergarten homepages. Methods: A total of 2,846 kindergartens were selected from the I-Sarang portal service for analyzing operation, and 217 self-operating homepages were selected for evaluating management. Seven evaluation items from three domains (information gathering procedures and scope, information security, and management of file exposure protection) were used. Wireshark and Google were used for analyzing some evaluation items. Results: The operating ratio of kindergarten homepages was low and most of the kindergartens self-operated their homepages. The evaluation of the information gathering procedures and scope showed that the rule of consent process was not rigidly followed but that the rule of legality for information gathering was followed. Items related to information security were followed at very low levels. As for the management of file exposure protection, the evaluation of items related to the prevention of attachment disclosure showed that the rule of protecting personal information included in an attached file was followed but that the notice regarding information protection was not. Across all evaluation items, the level of personal information management was higher in public (vs. private) kindergartens. Conclusion: These results indicate methods to more securely and effectively manage personal information on kindergarten homepages.

Automatic Malware Detection Rule Generation and Verification System (악성코드 침입탐지시스템 탐지규칙 자동생성 및 검증시스템)

  • Kim, Sungho;Lee, Suchul
    • Journal of Internet Computing and Services
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    • v.20 no.2
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    • pp.9-19
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    • 2019
  • Service and users over the Internet are increasing rapidly. Cyber attacks are also increasing. As a result, information leakage and financial damage are occurring. Government, public agencies, and companies are using security systems that use signature-based detection rules to respond to known malicious codes. However, it takes a long time to generate and validate signature-based detection rules. In this paper, we propose and develop signature based detection rule generation and verification systems using the signature extraction scheme developed based on the LDA(latent Dirichlet allocation) algorithm and the traffic analysis technique. Experimental results show that detection rules are generated and verified much more quickly than before.

A Study on Building an Integration Security System Applying Virtual Clustering (Virtual Clustering 기법을 적용한 Integration Security System 구축에 관한 연구)

  • Seo, Woo-Seok;Park, Dea-Woo;Jun, Moon-Seog
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.21 no.2
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    • pp.101-110
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    • 2011
  • Recently, an attack to an application incapacitates the intrusion detection rule, the defense policy for a network and database and induces intrusion incidents. Thus, it is necessary to study integration security to ensure the security of an internal network and database from that attack. This article is about building an integration security system to prevent an attack to an application set with intrusion detection rules. It responds to network-based attack through detection, disperses attack with the internal integration security system through virtual clustering and load balancing, and sets up defense policy for attacking destination packets, analyzes and records attack packets, and updates rules through monitoring and analysis. Moreover, this study establishes defense policy according to attacking types to settle access traffic through virtual machine partition policy and suggests an integration security system applied to prevent attack and tests its defense. The result of this study is expected to provide practical data for integration security defense for hacking attack from outside.

Study of Conversions Security Management System, Co-Relation Rule-Set scenario and architecture for incidence detection (융합보안관제환경을 위한 아키텍처 구축 및 활용 방안에 대한 연구)

  • Hwang, Donguk;Lee, Sanghun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.24 no.2
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    • pp.353-371
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    • 2014
  • We already have seen many studies and articles about the methodology responding the security risks and threats. But we still have some controversial subjects to be settled. Now, we are living in the era that we should focus on how to use the security systems instead of how to make it. In this point of view, a company need to find out the answer for these questions, which security risks have to be handled in a corporate, which system is better for responding the security threats, and how we can build necessary security architecture in case of developing systems. In this article, we'd like to study on-site scenarios threatening the corporate assets, the limit on dealing with these threats, and how to consolidate the security events and information from enormous assets. Also, we'd like to search for the direction form the actual cases which have shown the desired effect from converging the assets and network informations.

Adaptive Rule Estimation (ARE) Algorithm against Eluding NIDS (적응적 규칙 추정에 의한 네트워크기반 침입탐지시스템 우회공격 방지 기법)

  • Choi, Byeongl-Cheol;Seo, Dong-Il;Sohn, Sung-Won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.11b
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    • pp.975-978
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    • 2002
  • 본 연구는 네트워크 기반 침입탐지 시스템(NIDS)의 우회공격 방지를 위한 적응적 규칙 추정 알고리즘(ARE; Adaptive Rule Estimation)을 제안한다. 네트워크 기반 침입탐지 시스템에서 가장 많이 사용하는 침입탐지 방법은 규칙 기반의 패턴 매칭 기법이며, 이 방법은 삽입과 삭제에 의한 우회 공격에 많은 취약성을 가지고 있다. 본 연구에서는 이러한 삽입과 삭제에 의한 우회 공격을 방지 하고자 하는 취지에서 제안된 알고리즘이다. 적응적 규칙 추정에 의한 침입 탐지 알고리즘은 두 개의 과정으로 구성되며, 전처리 부분에서는 최적의 규칙을 선택하고, 주처리 부분에서 적응적으로 규칙 패턴의 변형된 위치를 찾아서 비교 판단하는 과정으로 이루어져 있다. 제안된 적응적 규칙 추정 알고리즘은 기존의 규칙 기반 패턴 매칭에서 우회공격이 가능한 것들이 탐지되며, 미탐지 확률을 줄일 수 있다.

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A Scheme for Protecting Security Rules in Intrusion Detection System (침입 탐지 시스템을 위한 효율적인 룰 보호 기법)

  • 손재민;김현성;부기동
    • Journal of Korea Society of Industrial Information Systems
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    • v.8 no.4
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    • pp.8-16
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    • 2003
  • This paper moses a method to solve the weakness in Snort, the network based intrusion detection system. Snort which is the rule-based intrusion detection system dose not supports a protection method for their own rules which are signatures to detect intrusions. Therefore the purpose of this paper is to provide a scheme for protecting rules. The system with the proposed scheme could support integrity and confidentiality to the rules.

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An Empirical Investigation on the Effect of Logistics Security in Import and Export Risk Management (물류보안이 수출입 리스크관리에 미치는 영향에 관한 실증연구)

  • Yi, Hong-Won;Kim, Jae-Bong
    • Journal of Navigation and Port Research
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    • v.38 no.3
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    • pp.317-325
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    • 2014
  • The government of South Korea has introduced various security measures in the supply chain, such as CSI (including a 24-hour rule) and AEO (Authorized Economic Operator), in compliance with global security trends and the war on terror. However, many participants in the import and export process are still unfamiliar with the purposes and functions of CSI, the 24-hour rule, and AEO. As such, considering these risks as obstacles or as factors that interfere with the import and export process, this study suggests proper management schemes, which can identify, measure and evaluate these risks.

Rule-base Expert System for Privacy Violation Certainty Estimation (개인정보유출 확신도 도출을 위한 전문가시스템개발)

  • Kim, Jin-Hyung;Lee, Alexander;Kim, Hyung-Jong;Hwang, Jun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.19 no.4
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    • pp.125-135
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    • 2009
  • Logs from various security system can reveal the attack trials for accessing private data without authorization. The logs can be a kind of confidence deriving factors that a certain IP address is involved in the trial. This paper presents a rule-based expert system for derivation of privacy violation confidence using various security systems. Generally, security manager analyzes and synthesizes the log information from various security systems about a certain IP address to find the relevance with privacy violation cases. The security managers' knowledge handling various log information can be transformed into rules for automation of the log analysis and synthesis. Especially, the coverage of log analysis for personal information leakage is not too broad when we compare with the analysis of various intrusion trials. Thus, the number of rules that we should author is relatively small. In this paper, we have derived correlation among logs from IDS, Firewall and Webserver in the view point of privacy protection and implemented a rule-based expert system based on the derived correlation. Consequently, we defined a method for calculating the score which represents the relevance between IP address and privacy violation. The UI(User Interface) expert system has a capability of managing the rule set such as insertion, deletion and update.