Abstract: Hydrogen electrolyzers are promising tools for frequency regulation of future power systems with high penetration of renewable energies and low inertia. This is due to both the increasing ...
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.
Threat actors are actively exploiting a critical security flaw in Everest Forms Pro, a WordPress plugin with about 4,000 active installations, to execute arbitrary code, leading to a complete site ...
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