The article discusses a new approach to two-factor authentication (2FA) that uses machine learning to continuously verify a user’s identity. The proposed system uses environmental features such as Wi-Fi beacon frame characteristics and RSSI values to identify the user. The system requires the user’s login and mobile device to be in close proximity before granting access, enhancing security. The system’s effectiveness has been demonstrated through experiments, achieving a 92.4% accuracy rate in determining device location. The system has also shown resilience against various cyberattacks.
Publication date: 15 Jan 2024
Project Page: unknown
Paper: https://arxiv.org/pdf/2401.06612
