기업은 조직의 재무·인사·정보 등을 저장하고 있는 정보자원에 대한 위협을 방지하기 위해서 다양한 기능을 제공하는 통합정보보호시스템을 채용하고 있다. 다양한 정보보호기능을 제공하는 통합정보보호시스템을 개발하기 위해서는 개발수명주기(development life cycle) 동안 자원을 효율적으로 할당해야 한다. 통합정보보호시스템의 품질 요소에 대한 효율적인 자원 배분은 통합정보보호시스템의 성공적인 개발에 있어서 핵심이다. 본 연구는 개발 자원을 고려하여 통합정보보호시스템의 최적 품질을 확보할 수 있는 최적 자원할당방법론을 제안한다. 따라서 본 연구는 통합정보보호시스템의 최적 품질을 확보하기 위해서 통합정보보호시스템을 구성하고 있는 품질 요소를 식별하고, 계층적의사결정기법(AHP)를 이용하여 품질요소간의 가중치를 측정한 후, 유전자 알고리즘(genetic algorithm)을 활용하여 통합정보보호시스템의 품질요소에 개발 자원을 최적으로 할당한다. 본 연구가 제안하는 방법론은 한정된 자원의 효율적으로 활용하여 프로세스별로 통합정보보호시스템의 품질 수준을 최대화할 수 있는 탐색적 방법을 제시한다. 제시된 탐색적 방법은 품질과 자원 할당에 민감한 정보시스템의 품질과 비용의 트레이드오프 해결에 사용할 수 있다.

To protect information resources such as information resources of finance, information resources of human resources, information resources of information management from certain threats, many organizations including private corporate and government employ integrated information security systems which provide the functions of intrusion detection, firewall and virus vaccine. In order to develop a reliable integrated information security systems during the development life cycle, the managers in charge of the systems must efficiently distribute the development resources to the quality factors of an integrated information security systems. Since a successful development of an integrated information security system depends on efficient resource assignments, it is very important. This study suggests a distribution methodology which assigns development resources to quality factors considered in order to optimize the quality level of integrated information security systems. To achieve the optimal quality level of integrated information systems, this study identifies quality factors of integrated information systems, measures the relative weights among the quality factors using analytic hierarchy process (AHP). In this study, we developed and applied a genetic algorithm to efficiently distribute the development resources to the quality factors interested of integrated information security systems. The suggested distribution methodology makes it possible to search an optimal solution which maximizes the quality levels of processes by distributing development resources to quality factors during the development life cycle. The approach proposed in the paper can be applied to solve the trade-off between quality and costs on the development life cycle in the other information systems.

To protect information resources such as information resources of finance, information resources of human resources, information resources of information management from certain threats, many organizations including private corporate and government employ integrated information security systems which provide the functions of intrusion detection, firewall and virus vaccine. In order to develop a reliable integrated information security systems during the development life cycle, the managers in charge of the systems must efficiently distribute the development resources to the quality factors of an integrated information security systems. Since a successful development of an integrated information security system depends on efficient resource assignments, it is very important. This study suggests a distribution methodology which assigns development resources to quality factors considered in order to optimize the quality level of integrated information security systems. To achieve the optimal quality level of integrated information systems, this study identifies quality factors of integrated information systems, measures the relative weights among the quality factors using analytic hierarchy process (AHP). In this study, we developed and applied a genetic algorithm to efficiently distribute the development resources to the quality factors interested of integrated information security systems. The suggested distribution methodology makes it possible to search an optimal solution which maximizes the quality levels of processes by distributing development resources to quality factors during the development life cycle. The approach proposed in the paper can be applied to solve the trade-off between quality and costs on the development life cycle in the other information systems.

Quality Factor, Analytic Hierarchy Process, Genetic Algorithm Integrated Information Security Systems