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November 2024
Behaviour-diverse automatic penetration testing: a coverage-based deep reinforcement learning approach
Frontiers of Computer Science: Selected Publications from Chinese Universities (FCS), Volume 19, Issue 3https://doi.org/10.1007/s11704-024-3380-1
Abstract
Reinforcement Learning (RL) is gaining importance in automating penetration testing as it reduces human effort and increases reliability. Nonetheless, given the rapidly expanding scale of modern network infrastructure, the limited testing scale ...
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