| Title | Implementing Network Attack Detection with a Novel NSSA Model Based on Knowledge Graphs |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Wang, Yixuan, Li, Yujun, Chen, Xiang, Luo, Yeni |
| Conference Name | 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) |
| Date Published | dec |
| Keywords | Communication networks, composability, data mining, Intrusion detection, Knowledge engineering, knowledge graph, Monitoring, network attack detection, network security situation awareness, Predictive Metrics, pubcrawl, Redundancy, Resiliency, security, situational awareness, telecommunication traffic |
| Abstract | With the rapid development of networks, cyberspace security is facing increasingly severe challenges. Traditional alert aggregation process and alert correlation analysis process are susceptible to a large amount of redundancy and false alerts. To tackle the challenge, this paper proposes a network security situational awareness model KG-NSSA (Knowledge-Graph-based NSSA) based on knowledge graphs. This model provides an asset-based network security knowledge graph construction scheme. Based on the network security knowledge graph, a solution is provided for the classic problem in the field of network security situational awareness - network attack scenario discovery. The asset-based network security knowledge graph combines the asset information of the monitored network and fully considers the monitoring of network traffic. The attack scenario discovery according to the KG-NSSA model is to complete attack discovery and attack association through attribute graph mining and similarity calculation, which can effectively reflect specific network attack behaviors and mining attack scenarios. The effectiveness of the proposed method is verified on the MIT DARPA2000 data set. Our work provides a new approach for network security situational awareness. |
| DOI | 10.1109/TrustCom50675.2020.00237 |
| Citation Key | wang_implementing_2020 |
Implementing Network Attack Detection with a Novel NSSA Model Based on Knowledge Graphs