The creation of PagPassGPT propels deep learning-based password security forward by reducing redundancies in password generation and enhancing the guess success rate.

• PagPassGPT utilizes Generative Pretrained Transformer technology.
• It introduces pattern-guided guessing for increased efficiency.
• The D&C-GEN method diminishes repeat generations of passwords.
• When compared with leading models, PagPassGPT reduces duplicates by 25% and increases the hit rate by 12%.

PagPassGPT’s contribution is crucial for cybersecurity, as it may bolster defense mechanisms against potential breaches by better understanding attack patterns. As password protection remains a significant concern, improved guessing models like PagPassGPT assist in creating more secure password policies and systems. Investigate PagPassGPT.