Graphical User Authentication: Enhancing Multi-Factor Authentication With Images

Authors

  • B. Navakanth Raju B.Tech Student, Department Of Electronics and Computer Engineering, J.B Institute of Engineering and Technology, Hyderabad, India Author
  • Mrs. V. Vijaya Sri Swarupa Associate Professor, Department Of Electronics and Computer Engineering, J.B Institute of Engineering and Technology, Hyderabad, India Author

Keywords:

Cyber Threats

Abstract

The aim project is to develop a robust and user-friendly Graphical Password Authentication that enhances the security of digital access by incorporating image-based authentication alongside traditional alphanumeric credentials.In the current digital landscape, where cyber threats are becoming increasingly sophisticated, traditional alphanumeric passwords often fall short of providing sufficient protection. This project addresses these vulnerabilities by introducing an innovative authentication method that leverages graphical passwords. Users are required to select specific images from a predefined set, creating a personalized and unique password. This graphical layer works in tandem with conventional passwords, significantly improving security and making unauthorized access more challenging.Additionally, the project focuses on striking a balance between security and usability. While many advanced authentication systems can compromise the user experience due to their complexity, the graphical password system offers a simple yet effective solution. By providing a visual, intuitive method for authentication, users can easily recall and utilize their passwords without sacrificing security. Graphical Password Authentication highlights the potential of combining innovative image-based techniques with modern technologies, offering a more secure, personalized, and user-friendly alternative to traditional authentication methods. The system aims to reduce the risks associated with unauthorized access to sensitive information and ensure a more secure online environment for users.

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Published

2026-01-22

How to Cite

Graphical User Authentication: Enhancing Multi-Factor Authentication With Images. (2026). International Journal of Engineering and Science Research, 16(1), 51-58. https://ijesr.org/index.php/ijesr/article/view/1468

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