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.
When living cells grow, divide or respond to drugs, they give off tiny amounts of heat that offer information about what the cells are doing. But because these heat signals are so vanishingly small, ...
Advanced driver assistance systems (ADAS) could soon be easier to verify after vehicle repairs, thanks to a new testing platform that assesses sensor functionality and alignment using standardised ...
New analysis explains how outdated concrete testing slows road and bridge projects, and what Iowa’s specification update means for the rest of the country. With true in-place data, you can make ...
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