metadata
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
# 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} }