Year: 2024
Type: article
Abstract: — Traditional authentication methods, primarily relying on passwords, face several critical challenges. Users often choose weak passwords, reuse them across multiple platforms, or struggle to remember complex combinations, leading to potential security vulnerabilities. As cybersecurity threats continue to evolve, traditional password-based authentication mechanisms have proven increasingly vulnerable to various attacks. Face detection-based login systems have emerged as a promising alternative, offering a balance between security and user convenience. This paper provides a detailed examination of implementing face detection-based login systems, focusing on using Python programming language. The research highlights both the advantages and potential vulnerabilities of such systems while proposing mitigation strategies for enhanced security. Keywords— Cybersecurity, Login System, Face Detection, Python Programming Language.
Institution: Universitas PGRI Adi Buana Surabaya
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405580098