# deep reinforcement learning

Published articles for deep reinforcement learning.

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## Pwnagotchi 1.0.0: An AI-assisted Raspberry Pi tool for WiFi security testing

DevFeed: [Pwnagotchi 1.0.0: An AI-assisted Raspberry Pi tool for WiFi security testing](<https://devfeed.tech/articles/weaponizing-and-gamifying-ai-for-wifi-hacking-presenting-pwnagotchi-1-0-0-41263.md>)

Original publisher: [Read original article](<https://www.evilsocket.net/2019/10/19/Weaponizing-and-Gamifying-AI-for-WiFi-Hacking-Presenting-Pwnagotchi-1-0-0/>)

Author: Simone Margaritelli

Published: 2019-10-19T08:45:28Z

Content type: article

Language: en

Sources: [evilsocket](<https://devfeed.tech/sources/evilsocket.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Hacking](<https://devfeed.tech/topics/hacking.md>), [Raspberry Pi](<https://devfeed.tech/topics/raspberry-pi.md>), [REST API](<https://devfeed.tech/topics/rest-api.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [bettercap](<https://devfeed.tech/tags/bettercap.md>), [cuda](<https://devfeed.tech/tags/cuda.md>), [cybersecurity](<https://devfeed.tech/tags/cybersecurity.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [deep-neural-networks](<https://devfeed.tech/tags/deep-neural-networks.md>), [deep-reinforcement-learning](<https://devfeed.tech/tags/deep-reinforcement-learning.md>), [dnn](<https://devfeed.tech/tags/dnn.md>), [e-paper](<https://devfeed.tech/tags/e-paper.md>), [hacking](<https://devfeed.tech/tags/hacking.md>), [handshake-capture](<https://devfeed.tech/tags/handshake-capture.md>), [handshakes](<https://devfeed.tech/tags/handshakes.md>), [low-power](<https://devfeed.tech/tags/low-power.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [monitor-mode](<https://devfeed.tech/tags/monitor-mode.md>), [neural-networks](<https://devfeed.tech/tags/neural-networks.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [pi](<https://devfeed.tech/tags/pi.md>), [poc](<https://devfeed.tech/tags/poc.md>), [portable-hacking](<https://devfeed.tech/tags/portable-hacking.md>), [pwnagotchi](<https://devfeed.tech/tags/pwnagotchi.md>), [raspberry-pi](<https://devfeed.tech/tags/raspberry-pi.md>), [reinforcement-learning](<https://devfeed.tech/tags/reinforcement-learning.md>), [release](<https://devfeed.tech/tags/release.md>), [wifi](<https://devfeed.tech/tags/wifi.md>), [wifi-hacking](<https://devfeed.tech/tags/wifi-hacking.md>), [wireless-security](<https://devfeed.tech/tags/wireless-security.md>)

### AI overview

The article recounts the development and release of Pwnagotchi 1.0.0, a Raspberry Pi-based project that uses bettercap's REST API and adaptive algorithms to improve WiFi handshake collection and related security-testing capabilities. It describes the project's evolution from an initial Python proof of concept and discusses the use of a Waveshare e-Paper display for portable, low-power operation.

### Source excerpt

This is the story of a summer project that started out of boredom and that evolved into something incredibly fun and unique. It is also the story of how that project went from being discussed on a porch by just two people, to having a community made of almost 700 awesome people (and counting!) that gathered, polished it and made today's release possible. TL;DR: You can download the 1.0.0 .img file from here, then just follow the instructions. If you want the long version instead, sit back, relax and enjoy the ride. Let me tell you: it's going to be quite a long journey compared to my usual blog posts, but it'll be worth it (i hope) and fun (i hope even harder). Let's begin ...