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PagPassGPT: Pattern Guided Password Guessing via Generative Pretrained Transformer
April 9, 2024, 4:11 a.m. | Xingyu Su, Xiaojie Zhu, Yang Li, Yong Li, Chi Chen, Paulo Esteves-Ver\'issimo
cs.CR updates on arXiv.org arxiv.org
Abstract: Amidst the surge in deep learning-based password guessing models, challenges of generating high-quality passwords and reducing duplicate passwords persist. To address these challenges, we present PagPassGPT, a password guessing model constructed on Generative Pretrained Transformer (GPT). It can perform pattern guided guessing by incorporating pattern structure information as background knowledge, resulting in a significant increase in the hit rate. Furthermore, we propose D&C-GEN to reduce the repeat rate of generated passwords, which adopts the concept …
address arxiv can challenges cs.ai cs.cr deep learning generative gpt high password password guessing passwords quality structure
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