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PGMaP: Password generation based on mask prediction
DOI:10.1016/j.eswa.2026.131318.png)
Abstract
En 中文
• Generating omitted passwords using bi-directional information. • First exploration of self-encoding models for large-scale password generation. • Learning bi-directional features using the masked language model. • The proposed method greatly improves the password cracking rate.
Keywords:
password generation
masked language model
bi-directional features
password cracking
self-encoding models
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W
Organization
No organization information available

