Implementation of Face Detection Login System using Python

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.

Authors

Institutions

Publication Details

Journal
BEST Journal of Applied Electrical Science & Technology
Published
2024-12-19
DOI
https://doi.org/10.36456/best.vol6.no2.9880
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implementation of Face Detection Login System using Python

Rasyida Shabihah Zukro Aini, Dwi Hastuti, Afif Nuril Musthofa
BEST Journal of Applied Electrical Science & Technology
Computational Physics and Python Applications
article

Implementation of Face Detection Login System using Python

Rasyida Shabihah Zukro Aini, Dwi Hastuti, Afif Nuril Musthofa
article en

Abstract

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.

BEST Journal of Applied Electrical Science & TechnologyVol. 6(2)
Universitas PGRI Semarang (ID), Universitas PGRI Adi Buana Surabaya
Peace, Justice and strong institutions
Openalex Percentile: Top 79%
Computational Physics and Python Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.