Jeev Time: Secure Authentication Using Integrated Face Recognition in Social Media Applications


  • Sanjeevan Mohan Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat, Johor, 86400, MALAYSIA
  • Nur Ziadah Harun


Social media, face detection, face recognition, authentication, virtual network


Social media facilitates the sharing of ideas and information through the building of virtual networks. Not all user accounts are secured based on the complexity of passwords. Password-only authentication finds it hard to protect a user account's confidentiality, integrity, and availability. Therefore, the face recognition integrated Jeev Time social media application is designed to authenticate the system securely. To develop this application, Object-Oriented Analysis and Design (OOAD) is used as the methodology. This application is developed using React Native framework (JavaScript) and backed by Google's Firebase database. Meanwhile, face authentication uses Google's Face Detection API and React Native's Face API. With face recognition, the face as biometric login is enforced in the authentication process. Therefore, the development of this application will secure the system users from using a weaker approach during authentication and not victimized by unethical social media users yet experiencing the familiar social media application interface and its core functionalities.




How to Cite

Mohan, S. ., & Nur Ziadah Harun. (2022). Jeev Time: Secure Authentication Using Integrated Face Recognition in Social Media Applications. Journal of Soft Computing and Data Mining, 3(2), 19–30. Retrieved from