Abstract: Software refactoring is widely employed to improve software quality. However, conducting refactorings manually is tedious, time-consuming, and error-prone. Consequently, automated and ...
DynPen: Automated Penetration Testing in Dynamic Network Scenarios Using Deep Reinforcement Learning
Abstract: Penetration testing, a crucial industrial practice for securing networked systems and infrastructures, has traditionally depended on the extensive expertise of human professionals.
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