library_name: keras
pipeline_tag: text-classification
tags:
- security
- password
Password security classifier
This is a keras model that gives a binary response showing how secure is a password.
I used this password list as a dataset + random password generation using the random library (I know, it's not very secure but this is for a dataset).
This model has a huggignface space. You can visit the link to try using the model online.
Model & Training
The model was trained on 4,2MiB of .csv data for 2 epochs on Adam with learning rate 0.00001, batch size 4 and mse loss.
The model embeds every input character with the ord() builtin python function. The model has 128 969 dense layer parameters.
Evaluation
On training the model had: loss - 0.0025 accuracy - 0.9972 The evaluation of the model on a test dataset shows: loss - 0.0023 accuracy - 0.9972
Model usage
The start.py file has a clf function that inputs a string of a password and responds with a 0-1 float value. 1 means secure and 0 insecure.
To train the model, create a dataset.csv file. Here's an example:
0,qwerty
0,123456
1,ISOdvsjs8r8
1,F(SEsDLxc__
After the dataset.csv file is created, now you can adjust the settings in the net.py file and run it.