Title | Cyber Security Knowledge Graph Based Cyber Attack Attribution Framework for Space-ground Integration Information Network |
Publication Type | Conference Paper |
Year of Publication | 2018 |
Authors | Zhu, Z., Jiang, R., Jia, Y., Xu, J., Li, A. |
Conference Name | 2018 IEEE 18th International Conference on Communication Technology (ICCT) |
Date Published | oct |
Keywords | attribution, composability, computer security, Correlation, cyber attack attribution, cyber security knowledge graph, cyber-attack, graph theory, Human Behavior, human-in-the-loop security center paradigm, Internet, Metrics, network attacks, Ontologies, Pattern matching, pubcrawl, security of data, space-ground integration information network, Tools |
Abstract | Comparing with the traditional Internet, the space-ground integration information network has more complicated topology, wider coverage area and is more difficult to find the source of attacks. In this paper, a cyber attack attribution framework is proposed to trace the attack source in space-ground integration information network. First, we constructs a cyber security knowledge graph for space-ground integration information network. An automated attributing framework for cyber-attack is proposed. It attributes the source of the attack by querying the cyber security knowledge graph we constructed. Experiments show that the proposed framework can attribute network attacks simply, effectively, and automatically. |
DOI | 10.1109/ICCT.2018.8600108 |
Citation Key | zhu_cyber_2018 |