article Open access

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

  • Journal of Soft Computing and Data Mining
  • Penerbit UTHM
Research footprint

At a glance

Citations
0
References
11
Comments
0
Paper overview

Abstract

Social media facilitatesthe 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 applicationis 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 inthe 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.

Record transparency

Publication details

DOI
10.30880/jscdm.2022.03.02.003
OpenAlex
W4388712439
Document type
article
Language
EN
Source
Journal of Soft Computing and Data Mining
Last metadata update
Community

Comments

Log in to join the discussion.

  1. No comments yet. Start the discussion.