2 days ago · The system employs machine learning techniques to analyze data from accelerometers, gyroscopes, and other sensors and achieved an authentication accuracy of 98.1%. The study demonstrated the feasibility of continuous authentication methods that operate seamlessly in the background, enhancing security without compromising user convenience.

May 1, 2024 · This systematic review provides an all-encompassing overview of Machine Learning and Deep Learning-based user authentication and authorization, covering its application domains, models, analysis of state-of-the-art results, challenges, and research directions.

Oct 15, 2021 · This study aims to give a comprehensive overview of the current uses of different machine learning algorithms that are frequently used in user authentication schemas involving touch dynamics and device movement.

Oct 14, 2021 · This study aims to give a comprehensive overview of the current uses of different machine learning algorithms that are frequently used in user authentication schemas involving touch...

Aug 24, 2021 · Research has been conducted using these behavioral biometrics and different machine learning algorithms in hopes to make our devices more secure and more efficient.

4 days ago · The rapid growth of Internet of Things (IoT) devices across industrial and critical sectors requires robust and efficient authentication mechanisms. Traditional authentication systems struggle to balance security, privacy and computational efficiency, particularly in resource-constrained environments such as Industry 4.0. This research presents the SmartIoT Hybrid Machine Learning (ML) Model ...

2 days ago · User authentication is essential to ensure secure access to computer systems, yet traditional methods face limitations in usability, cost, and security. Mouse dynamics authentication, based on the analysis of users' natural interaction behaviors with mouse devices, offers a cost-effective, non-intrusive, and adaptable solution. However, challenges remain in determining the optimal data volume ...

Intelligent identity and access management leverages AI and machine learning to automate access decisions, detect unusual user behavior, and enhance security. It enables real-time threat response, adaptive authentication, and streamlined user provisioning, making IAM smarter and more secure. Intelligent Identity and Access Management

1 day ago · The integration of advanced algorithms, often rooted in machine learning and deep learning, significantly boosts the accuracy and robustness of facial recognition systems. Facial expression analysis complements facial recognition by interpreting individuals’ emotional states based on their facial expressions.

A machine learning-based approach was developed for system authentication, where various machine learning algorithms were evaluated to identify the most effective model. The TOPSIS method was employed to select key behavioral features, improving the authentication system’s performance by focusing on the most impactful data.