Design of Communication Countermeasures Blue Team Operation Based on Case Knowledge

Abstract

In the field of communication countermeasures blue team operation design, faced with a series of challenges such as difficulty in acquiring potential adversary communication operation case data, small data volume, obvious unstructured data, and low reuse rate, this paper adopts a case knowledge approach to leverage the progressive nature and reuse case information. The ontological representation method is used to represent case knowledge, forming case knowledge triplets and subsequently constructing a domain ontology. A hierarchical retrieval method combining semantic similarity and attribute similarity is employed for case knowledge retrieval to improve retrieval efficiency and accuracy. SQL Server 2019 is used for case knowledge storage, and similarity algorithms are implemented using Python. Experimental simulations are conducted with predefined operational scenarios, and through result analysis, the proposed method in this paper can enhance the efficiency of case knowledge reuse, effectively assisting designers in operation design, and reducing manual labor cost.