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--- |
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library_name: keras |
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pipeline_tag: text-classification |
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tags: |
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- security |
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- password |
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--- |
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# Password security classifier |
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This is a keras model that gives a binary response showing how secure is a password. |
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I used this password list as a dataset + random password generation using the `random` library (I am aware of it being unsecure). |
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This model has a [huggingface space](https://huggingface.co/spaces/MoyAI/password-security). You can visit the link to try using the model online. |
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## Model & Training |
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The model was trained on 4,2MiB (`200 000` lines) of .csv data for 2 epochs on Adam with learning rate 0.00001, batch size 4 and mse loss. |
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The model embeds every input character with the ord() builtin python function. The model has `128 969` dense layer parameters. |
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## Evaluation |
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During training the model had: |
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**loss** - 0.0025 |
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**accuracy** - 0.9972 |
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The test metrics are: |
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**loss** - 0.0023 |
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**accuracy** - 0.9972 |
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## Model usage |
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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. |
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To train the model, create a `dataset.csv` file. Here's an example: |
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```csv |
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0,qwerty |
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0,123456 |
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1,ISOdvsjs8r8 |
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1,F(SEsDLxc__ |
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``` |
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After the `dataset.csv` file is created, now you can adjust the settings in the `net.py` file and run it. |
