Continuous Authentication

Continuous authentication aims to continuously verify a user's identity during device interaction, enhancing security beyond traditional login methods. Current research focuses on leveraging behavioral biometrics, such as mouse dynamics and touch screen interactions, analyzed using machine learning algorithms including Support Vector Machines, Random Forests, neural networks, and deep learning models like convolutional neural networks. These approaches show promise in improving security for various devices, from smartphones to VR systems, by detecting subtle behavioral patterns unique to each user, although accuracy varies depending on the data and chosen model.