• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2003.12a
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• pp.386-389
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• 2003

KeyNote 기반의 네트워크 보안 정책 관리는 분산 환경에서 보안 정책을 관리하고 적용하는 시스템이다. 기존의 네트워크에서 보안 정책 관리는 각각의 시스템에 보안 정책을 설정하여야 하는 구조로 구성되어 있다. 본 논문에서는 이러한 문제점을 개선하기 위하여 KeyNote 기반의 분산 네트워크 환경 하에서 보안 정책 관리를 이용한 보안정책의 정의 및 설정, 변환 등에 관련된 구조에 대한 설계와 이를 구현한다.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10c
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• pp.574-576
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• 2002

VPN, 전자상거래 등의 인터넷 서비스들이 인터넷을 통해 빠르게 퍼져가고 있지만, 인터넷이 가지고 있는 보안 취약성 때문에 항상 해킹의 위험에 노출되어 있다. 이러한 해킹의 피해를 최소화하고 동적으로 침입을 감지할 수 있는 침입 탐지 시스템과 같은 보안 솔루션이 필요하다. 그리고, 보안 정책이 없는 관리 시스템은 보안 환경의 변화에 민첩하게 대처하지 못하고 통합된 관리 방법을 제시하지 못한다 이 논문에서는 표준화된 보안 정책과 분석, 유지, 복구 기능을 가지고 정책을 기반으로 동작하는 보안 관리 시스템을 설계하였다. 보안 관리 시스템은 정책에 따라 관리 상태를 설정하고, 정책의 통신을 위해 COPS를 이용한다. 그리고, 네트워크상의 패킷을 필터링하고 침입을 탐지하며 불법 침입을 통보한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04a
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• pp.59-62
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• 2002

최근 네트워크 구성이 복잡해짐에 따라 정책기반의 네트워크 관리기술에 대한 필요성이 증가하고 있으며, 특히 네트워크 보안관리를 위한 새로운 패러다임으로 정책기반의 네트워크 관리 기술이 도입되고 있다. 보안정책 서버는 새로운 정책을 입력하거나 기존의 정책을 수정, 삭제하는 기능과 보안정책 결정 요구 발생시 정책결정을 수행하여야 하는데 이를 위해서는 보안정책 실행시스템에서 보내온 경보 메시지에 대한 분석 및 관리가 필요하다. 따라서 이 논문에서는 정책기반 네트워크 보안관리 프레임워크의 구조 중에서 보안정책 서버의 효율적인 보안정책 수림 및 수행을 지원하기 위한 경보데이터 관리기를 설계하고 구현한다. 그리고 경보 데이터 저장과 분석을 위해서 데이터베이스 스키마를 설계하고 저장된 경보데이터를 분석하는 모듈을 구현한다. 또한 불량사용자나 호스트의 관리를 위하여 블랙 리스트 매니져를 구현하며 블랙리스트 매니져는 위험한 불량사용자와 호스트를 탐지하여 관리하는 기능을 제공한다 구현된 경보 관리기나 고수준 분석기는 효율적인 보안정책관리를 지원하게 된다.

• Journal of KIISE:Databases
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• v.31 no.1
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• pp.1-12
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• 2004

As network systems are developed rapidly and network architectures are more complex than before, it needs to use PBNM(Policy-Based Network Management) in network system. Generally, architecture of the PBNM consists of two hierarchical layers: management layer and enforcement layer. A security policy server in the management layer should be able to generate new policy, delete, update the existing policy and decide the policy when security policy is requested. And the security policy server should be able to analyze and manage the alert messages received from Policy enforcement system in the enforcement layer for the available information. In this paper, we propose an alert analyzer using data mining. First, in the framework of the policy-based network security management, we design and implement an alert analyzes that analyzes alert data stored in DBMS. The alert analyzer is a helpful system to manage the fault users or hosts. Second, we implement a data mining system for analyzing alert data. The implemented mining system can support alert analyzer and the high level analyzer efficiently for the security policy management. Finally, the proposed system is evaluated with performance parameter, and is able to find out new alert sequences and similar alert patterns.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.6
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• pp.1364-1370
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• 2005

There are many security models for database systems using policy-based access control. RBAC (Role-based Access Control) is used for complementing MAC (Mandatory Access Control) and DAC (Discretionary Access Control) and is for performing flexibly security policies meet applied environment. We implemented the database security system that applies DAC, MAC, and RBAC to meet security requirements of users. However, security policies are constructed redundantly whenever security policies are needed to each user in this system. Even though the proposed security system can flexibly control more complicated 'read' access to various data sizes for individual users, it is obvious that there is a possibility that a new policy can be a duplication of existing policies. In this paper, we introduce the problem of policy duplication and propose the policy management module. With this proposed module, constructed policies are checked for duplication and deleted or merged with existing policies.

• The KIPS Transactions:PartC
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• v.8C no.5
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• pp.573-584
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• 2001

Policy-Based Network Management (PBNM) architecture is to meet various needs of network users and to provide effective management facilities in distributed and large scale networks to network managers. In PBNM, network managers perform network management operations by stipulating a set of rules rather than control each network component. On the other hand, providing security services such as authentication, privacy of messages as well as a new flexible and extensible administration framework, SNMPv3 enables network managers to monitor and control the operation of network components more secure way than ever before. Despite of its enhanced security services, SNMPv3 has difficulties in managing distributed, large-scaled network because it does not provide centralized security management facilities. In this paper, we propose a new security model called Role-based Security Management model (RSM) with security management policy to support scalable and centralized security management for SNMP-based networks. Also, the structure and the operation of the security system as well as the efficiency analysis of RSM in terms of security management are also described.

• Journal of the Korea Society of Computer and Information
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• v.7 no.4
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• pp.141-149
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• 2002

Recently, a number of network systems are developed rapidly and network architectures are more complex than before, and a policy-based network management should be used in network system. Especially, a new paradigm that policy-based network management can be applied for the network security is raised. A security policy server in the management layer can generate new policy, delete. update the existing policy and decide the policy when security policy is requested. The security server needs to analyze and manage the alert message received from server Policy enforcement system in the enforcement layer for the available information. In this paper, we implement an alert analyzer that analyze the stored alert data for making of security policy efficiently in framework of the policy-based network security management. We also propose a data mining system for the analysis of alert data The implemented mining system supports alert analyzer and the high level analyzer efficiently for the security.

• The KIPS Transactions:PartC
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• v.8C no.5
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• pp.607-614
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• 2001

With a remarkable growth and expansion of Internet, the security issues emerged from intrusions and attacks such as computer viruses, denial of services and hackings to destroy information have been considered as serious threats for Internet and the private networks. To protect networks from those attacks, many vendors have developed various security systems such as firewalls, intrusion detection systems, and access control systems. However, managing those systems individually requires too much work and high cost. Thus, in order to manage integrated security management and establish consistent security management for various security products, the policy model of PN-ISMS (Policy Based Integrated Security Management System) has become very important. In this paper, present the hierarchical policy model which explore the refinement of high-level/conceptual policies into a number of more specific policies to form a policy hierarchy. A formal method of policy description was used as the basis of the mode in order to achieve precision and generality. Z-Notation was chosen for this propose. The Z-Notation is mathematical notation for expressing and communicating the specifications of computer programs. Z uses conventional notations of logic and set theory organized into expressions called schemas.

• The KIPS Transactions:PartC
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• v.9C no.5
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• pp.775-782
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• 2002

This paper introduces Policy Management Tool which was implemented based on Policy Information Model in network suity system. Network security system consists of policy terror managing and sending policies to keep a specific domain from attackers and policy clients detecting and responding intrusion by using policies that policy server sends. Policies exchanged between policy server and policy client are saved in database in the form of directory through LDAP by using Policy Management Tool based on network security policy information model. NSPIM is an extended policy information model of IETF's PCIM and PCIMe, which enables network administrator to describe network security policies. Policy Management Tool based on NSPIM provides not only policy management function but also editing function using reusable object, automatic generation function of object name and blocking policy, and other convenient functions to user.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.286-288
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• 2004

최근 인터넷의 급성장을 기반으로 유비쿼터스 환경이 도래하면서 다양한 환경요소를 가진 자원들이 네트 워크 상에 공존하다. 이러한 환경에서 적절한 보안 서비스를 제공하기 위해서는 자원의 환경정보를 제공하는 컨텍스트(Context)를 기반으로 적절한 보안정책을 결정하는 것이 필요하다. 본 논문에서는 유비쿼터스 환경에서 제공되는 상황정보를 통해 사용자의 선호도, 디바이스의 성능, 서비스의 가치 등 다양한 자원의 환경요소를 획득하여 MAUT와 간결한 휴리스틱스를 이용하여 자원에 적절한 보안 등급을 적응적으로 결정하는 알고리즘을 제안하고, 이를 바탕으로 유비쿼터스 환경에 적합한 보안정책 관리 모델을 제안한다.