Abstract: Integrity assessment of metallic structures requires inspection tools capable of detecting and evaluating cracks reliably. To this end, many microwave and millimeter-wave nondestructive ...
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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