The use of web-based facial authentication systems in forensic analysis

Abstract

The study explored web-based facial authentication systems’ development and challenges using semi-structured interviews of developers, cyber security experts, and users. The study demonstrated that facial recognition technology can easily be generalized to other domains of operation. However, current conditions in the environmental setup, such as lighting and user position, pose significant challenges affecting the system's performance. Introducing spoof attacks to fight requires the developer to always add and enhance the identification systems and motion-tracking algorithms, while deep fake technology presents constant system maintenance. This departure from the norm calls for concern as it concerns privacy protection, together with every legal aspect advanced as significant concerns, made the developers concentrate a lot on implementing strong encryption systems in compliance with GDPR norms. The study participants raised ethical concerns regarding abuses and violations of privacy in monitoring the surveillance system and the lack of new governance in biometric data. The assessment defined that system usability and operational speed required enhancement to support proper functioning in a heavy load usage environment. Facial online authentication is potentially viable, yet it requires technology and legal framework modifications regarding environmental, security, and ethical questions. The recommended strategies for improving this system include higher-level encryption, flexible user-oriented mechanics, and operational testing. Research directions for the future that need more attention for attaining user satisfaction and diverse ecosystem integration include discovering methods to protect user privacy using federated learning and more intense systematic testing across various environments.