Chang-Joo Moon

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Information security is a crucial technique for an organization to survive in these days. However, there is no integrated model to assess the security risk quantitatively and optimize its resources to protect organization information and assets effectively. In this paper, an integrated, quantitative risk analysis model is proposed including asset, threat(More)
One important research challenge of current Semantic Web is resolving the interoperability issue across ontologies. The issue is directly related to identifying semantics of resources residing in different domain ontologies. That is, the semantics of a concept in an ontology differs from others according to the modeling style and intuition of the knowledge(More)
OSGi service platform is the core platform of a gateway in the home network. One of the most important issues is security in the home network because the usage scope of the home network is related to a personal living space. However, the solutions related to the security are in their infancy, and if we apply the existing security techniques as they are,(More)
The OSGi provides a service platform which ensures the interoperability between heterogeneous technologies and various devices in home network environment. Nowadays, user access control is one of the core parts which should be cleared, but there are no concrete researches yet. So in this paper, we propose a supplemented authorization policy management(More)
User access control is one of the core parts in the developing Internet field. However, in home network service platform and Web service platform, there is no concrete research yet. Therefore, in this paper, we propose the supplemented authorization policy management framework based on RBAC model in the network environment, especially, OSGi service platform(More)
As a mean to map ontology concepts, a similarity technique is employed. Especially a context dependent concept mapping is tackled, which needs contextual information from knowledge taxonomy. Context-based semantic similarity differs from the real world similarity in that it requires contextual information to calculate similarity. The notion of semantic(More)