Intelligent Penetration Testing Through Integrated Knowledge Graph and Historical Decision Enhancement

Penetration testing (PT, a security technique where experts simulate attacks to find weaknesses in networks) is traditionally slow and expensive because it relies heavily on manual expert work. This research proposes an automated and intelligent PT method using a knowledge graph (a structured database of relationships between network components) and historical decision data to create realistic test environments and make smarter attack decisions, achieving a 69% reduction in repeated testing attempts.