Research on “Attack Graph” Development Trend
Wang Huimei, Liu Jian, Ming Xian · 2020
With the development of cloud computing, big data and other technologies, cyber space security has become increasingly prominent. Attack graphs are a powerful tool for security risk assessment by analyzing network vulnerabilities and the paths attackers can use to compromise network resources. Attack graphs and model analysis have done a lot of research, and made a large number of achievements. In this paper we chose the advanced search in the “WoS core dataset (E-SCI)”, with a retrieval type of TS = attack graph, finally 2936 papers in the fields are retrieved. Based on the 2936 literature, we carry out time series, co-citation analysis and keywords co-occurrence analysis. The result shows the current hot spot and development trend, and predicts the future research direction in the attack graph field.