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- W3200246877 abstract "With the fast growth of system complexity, it is increasingly difficult to comprehensively analyze security of such large-scale systems, which is a knowledge-intensive task. Although there are various available security knowledge sources, they are not well-connected with each other due to their heterogeneity and unstructured descriptions. In this paper, we propose a systematic approach to construct a comprehensive and reusable knowledge graph in the field of information security. Specifically, we first investigate heterogeneous security knowledge sources and establish a detailed ontology of information security, integrating various security conceptual models. Then, we train a security entity identifier based on active learning to extract security knowledge from unstructured descriptions. Such extracted knowledge is then fused to establish a comprehensive and reusable security knowledge graph based on the unified ontology. Finally, we illustrate the utility of our established knowledge graph with a set of exemplary queries and reasoning rules in the context of a real security scenario." @default.
- W3200246877 created "2021-09-27" @default.
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- W3200246877 date "2021-07-01" @default.
- W3200246877 modified "2023-10-16" @default.
- W3200246877 title "Integrating Heterogeneous Security Knowledge Sources for Comprehensive Security Analysis" @default.
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- W3200246877 doi "https://doi.org/10.1109/compsac51774.2021.00103" @default.
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