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.
A new study led by researchers from the University of Bath in the UK suggests a standard unit for measuring cannabis potency, similar to how we quantify alcohol consumption with standard drinks, could ...
Abstract: Penetration testing is widely acknowledged as the foremost method for evaluating network security. However, three challenges impede the generation of strategies that align with human ...
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