Published Paper Details:

This paper examines the utilization of a Face Security API as a means to enhance security in edge computing environments. With the proliferation of edge computing and the associated challenges of securing distributed systems, incorporating facial recognition technology becomes crucial. By harnessing the capabilities of a Face Security API, this research investigates the potential advantages and obstacles of implementing such mechanisms to safeguard edge computing systems against unauthorized access, data breaches, and malicious activities. The study explores the functionality and limitations of the Face Security API, evaluates its effectiveness within edge computing scenarios, and addresses ethical considerations. Through a comprehensive analysis of existing literature and practical case studies, this research aims to provide valuable insights and recommendations on effectively leveraging the Face Security API to bolster security in edge computing architectures.