Password Model

Password model research focuses on understanding and predicting password creation and guessing strategies to improve security. Current efforts leverage deep learning architectures, such as Generative Adversarial Networks (GANs) and Recurrent Neural Networks (RNNs), to build more accurate models of password generation and cracking, often incorporating auxiliary user data to enhance prediction accuracy. These advancements are crucial for developing more robust password strength estimators and informing the design of more secure authentication systems, ultimately impacting the effectiveness of password-based security across various applications.