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- W4328011320 abstract "In the paper, a novel framework is proposed for comprehensive effectiveness analysis of physical protection system using 3D models and simulation. Within the framework, the Autodesk 3ds Max and Unity real-time development platform is used for 3D modeling of security critical infrastructures. Then the vulnerable intrusion paths are identified using an enhanced heuristic search algorithm in the 3D scenery by integrating with the space-time bounded detection field. Finally, force-on-force training is carried out using reinforcement learning to determine the probability of neutralization and response paths. The demonstration results show that the enhanced heuristic-based algorithm is promising for real-time adversary path planning in 3D scenes. The reinforcement learning-based response force model can quickly track down the enemy to support for neutralization analysis." @default.
- W4328011320 created "2023-03-22" @default.
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- W4328011320 date "2022-12-15" @default.
- W4328011320 modified "2023-09-27" @default.
- W4328011320 title "A Novel Framework for Comprehensive PPS Effectiveness Evaluation in 3D Modeled Environment" @default.
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- W4328011320 doi "https://doi.org/10.1109/srse56746.2022.10067580" @default.
- W4328011320 hasPublicationYear "2022" @default.
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