Password Strength

Password security research focuses on understanding and improving password strength, primarily by analyzing human password creation habits and developing more effective attack and defense methods. Current research heavily utilizes deep learning, employing models like generative adversarial networks (GANs), recurrent neural networks (RNNs), and large language models (LLMs) to both crack passwords and generate more robust alternatives, including honeywords. These advancements have implications for improving password strength meters, enhancing authentication systems, and informing the design of more secure online services.