| --- |
| license: cc-by-4.0 |
| tags: |
| - passphrase |
| - security |
| - password |
| language: |
| - en |
| task_categories: |
| - text-generation |
| --- |
| |
| # MASCARA Data |
|
|
| Pre-trained probability tables used in the MASCARA passphrase guessability experiment. |
|
|
| ## Contents |
|
|
| `mascara-data.zip` extracts to: |
|
|
| | File | Size | Description | |
| |---|---|---| |
| | `biprob.pkl` | 236M | Bigram probability table trained on Wikipedia-5 corpus. Format: `"word1 word2" → float`. 7,584,975 pairs. | |
| | `bigram.pickle` | 89M | Raw bigram count table. Format: `word → defaultdict(word → count)`. 496,161 keys. | |
| | `unigram-5p.pkl` | 6.5M | Unigram probability table (requires NLTK). | |
|
|
| ## Usage |
|
|
| ```bash |
| # Download |
| hf download wei192026/mascara-data mascara-data.zip \ |
| --repo-type dataset \ |
| --local-dir data/ |
| |
| # Extract |
| cd data/ && unzip mascara-data.zip |
| # Results in: biprob.pkl, bigram.pickle, unigram-5p.pkl |
| These files are used by src/attack_models.py as the Wiki-5 bigram attacker (Model 6 in the min-auto framework). |
| ``` |
|
|
| ## Source |
| Data originates from the MASCARA paper: |
|
|
|
|
| @inproceedings{mukherjee-2023-memorable-passphrase, |
| author = {Avirup Mukherjee and Kousshik Murali and Shivam Kumar Jha and Niloy Ganguly and Rahul Chatterjee and Mainack Mondal}, |
| title = {{MASCARA: Systematically Generating Memorable And Secure Passphrases}}, |
| booktitle = {ACM ASIACCS 2023}, |
| year = {2023} |
| } |
|
|
|
|
| --- |
