Assessing the Importance and Pertinence of Cybersecurity Content via Textual Similarity and a Cybersecurity Knowledge Graph

In this research, a new method of assessing the importance and topicality of cybersecurity information with the help of textual similarity and a cybersecurity knowledge graph is discussed. The main objective is to improve the approach and methods used to evaluate the content of the cybersecurity field and to determine its relevance to prior knowledge and context. Textual similarity measures are also used for comparing cybersecurity texts to determine similar and important information. At the same time, a knowledge graph, including the topic's connections and concepts, is used to set the context for analysing the content. This two-pronged approach does not only enhance the assessment process, but it also helps in establishing patterns and connections within security data. The outcome of this project will therefore enhance the retrieval and analysis of cybersecurity information to enhance decision making and knowledge management. By combining these methods, the project helps to make tools better for cybersecurity specialists and improve their capacity to analyse and respond to intricate security data.