A Semi-automatic Approach for Enhancing the Quality of Automatically Generated Inventories

Inventories are precious sources of information for security-related processes. As a consequence, the quality of the data in the inventories plays a crucial role in the overall quality of the fed processes. This paper takes this challenge and provides heuristics to improve the accuracy of automatically generated inventories through a semi-automatic approach leveraging user knowledge.