Artificial Intelligence in Identity Management: Improving Security Through Biometric Authentication

EasyChair Preprint 14529

Abstract

As digital transformation accelerates, identity management has become a critical component of cybersecurity strategies. Traditional authentication methods, while effective, face challenges related to security and user convenience. This abstract explores the role of Artificial Intelligence (AI) in enhancing identity management through biometric authentication, emphasizing its potential to address security vulnerabilities and improve user experience.

Biometric authentication, which utilizes unique biological characteristics such as fingerprints, facial recognition, and iris scans, has emerged as a robust alternative to traditional methods like passwords and PINs. AI technologies, particularly machine learning and deep learning, significantly enhance biometric systems by improving accuracy, reliability, and adaptability.

Keyphrases: AI-driven solutions, Automated Threat Response, Cyber Threat Intelligence Feeds, Machine Learning Models, Scalability in Cybersecurity, Security data analysis, Threat Prediction, Zero-day exploits, data correlation

@booklet{EasyChair:14529,
  author    = {Edwin Frank},
  title     = {Artificial Intelligence in Identity Management: Improving Security Through Biometric Authentication},
  howpublished = {EasyChair Preprint 14529},
  year      = {EasyChair, 2024}}