Recommending Orchestration Plan for Space-Ground Integration Information Network: A Subgraph Matching Approach

The Space-Ground Integration Information Networks (SGIIN) are facing increasing attacks and risks, highlighting the critical need to recommend network defense orchestration plans for the SGIIN in an efficient manner. However, due to the incompleteness of plans, dynamic topology of the SGIIN, and the non-isomorphism between the plan and topology, existing plan recommendation schemes are unable to effectively work in the SGIIN. To tackle these challenges, we propose a scheme that utilizes a comprehensive measurement to identify the optimal orchestration plan, considering the alignment between plans and the security requirement, the historical performance of plans, and their applicability to dynamic network topology. Moreover, we present a methodology to enhance the accuracy of alignment measurement, as well as an algorithm intended for the identification of plan-graph subgraphs in topology-graph matching. Experimental results demonstrate that the proposed scheme is effective, efficient, and scalable, even in the presence of dynamic changes in network topology.