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Awesome GitHub RepositoriesAI-Driven Capture Optimization
Use of reinforcement learning to autonomously tune parameters for maximizing handshake collection.
Distinct from Handshake Captures: Adds the AI/ML optimization layer to the process of capturing handshakes, rather than just the capture mechanism itself.
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Awesome AI-Driven Capture Optimization GitHub Repositories
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- evilsocket/pwnagotchi
evilsocket/pwnagotchi
9,106Auf GitHub ansehenPwnagotchi is an AI-powered wireless auditor and handshake capture tool that uses deep reinforcement learning to autonomously collect wireless security handshakes and crackable key material. It serves as an automation framework for network instrumentation, adapting its operational parameters based on the local wireless environment to maximize data collection. The system distinguishes itself through distributed coordination, allowing multiple hardware units to share presence and divide wireless channels to optimize collective capture and perform distributed wireless mapping. It incorporates ge
Uses deep reinforcement learning to instrument network tools and maximize the capture of wireless handshakes.
Python
