This commit is contained in:
Simone Margaritelli 2019-10-03 22:37:55 +02:00
parent 6f0ec08c47
commit 780664b1c0

@ -1,4 +1,16 @@
### Usage
### User Interface
The UI is available either via display if installed, or via http://pwnagotchi.local:8080/ if you connect to the unit via `usb0` and set a static address on the network interface (change `pwnagotchi` with the hostname of your unit).
![ui](https://i.imgur.com/XgIrcur.png)
* **CH**: Current channel the unit is operating on or `*` when hopping on all channels.
* **APS**: Number of access points on the current channel and total visible access points.
* **UP**: Time since the unit has been activated.
* **PWND**: Number of handshakes captured in this session and number of unique networks we own at least one handshake of, from the beginning.
* **AUTO**: This indicates that the algorithm is running with AI disabled (or still loading), it disappears once the AI dependencies have been bootrapped and the neural network loaded.
### Training the AI
At its core Pwnagotchi is a very simple creature: we could summarize its main algorithm as:
@ -95,17 +107,6 @@ reward = h + a + c + b + i + m
By maximizing this reward value, the AI learns over time to find the set of parameters that better perform with the current environmental conditions.
### User Interface
The UI is available either via display if installed, or via http://pwnagotchi.local:8080/ if you connect to the unit via `usb0` and set a static address on the network interface (change `pwnagotchi` with the hostname of your unit).
![ui](https://i.imgur.com/XgIrcur.png)
* **CH**: Current channel the unit is operating on or `*` when hopping on all channels.
* **APS**: Number of access points on the current channel and total visible access points.
* **UP**: Time since the unit has been activated.
* **PWND**: Number of handshakes captured in this session and number of unique networks we own at least one handshake of, from the beginning.
* **AUTO**: This indicates that the algorithm is running with AI disabled (or still loading), it disappears once the AI dependencies have been bootrapped and the neural network loaded.
### BetterCAP's Web UI