Vahid Khiabani, Middle Tennessee State University, USA

A Shoulder Surfing Attack is a security threat that involves an unauthorized individual attempting to gain access to another person’s sensitive information, such as authentication credentials, by discreetly observing them from a close proximity—often by looking over their shoulder—or through the use of hidden cameras. This type of attack has become increasingly prevalent as smartphones have become more widespread and portable, allowing attackers to more easily position themselves to view private information. As the issue of shoulder surfing becomes a more critical security challenge, researchers are exploring various solutions to enhance the security of user authentication processes. Among these solutions, graphical password systems that incorporate images have emerged as a popular alternative due to their simplicity and ease of memorization. These systems leverage users' ability to remember visual information, making them potentially more secure against certain types of attacks. In this study, we propose a novel user authentication method that utilizes smartphone maps to enhance security. By capitalizing on the human capacity for visual recognition, this technique aims to create a robust graphical password system. Our proposed method not only defends against Shoulder Surfing Attacks but also provides protection against other prevalent threats such as Phishing and Pharming. Overall, our research seeks to enhance the security of user authentication in today’s mobile-centric environment.

APA:
Khiabani, V. (2023). A Comprehensive Study on the Approach Method that Incorporates and Analyzes Map Information Derived from Smartphones. Journal of Science and Engineering Management, 4(1), 45-54. https://doi.org/10.33832/jsem.2023.4.1.05