AI-Assisted Authentication: State of the Art, Taxonomy and Future Roadmap

TL;DR

This paper surveys the current state, taxonomy, and future directions of AI-assisted authentication methods, highlighting their applications, advantages, and research gaps in various security scenarios.

Contribution

It provides the first comprehensive overview of AI's roles in authentication, categorizing existing schemes and outlining future research pathways.

Findings

AI enhances authentication efficiency and flexibility.

Various AI-based authentication methods are categorized and analyzed.

Future research directions are proposed for AI in authentication.

Abstract

Artificial Intelligence (AI) has found its applications in a variety of environments ranging from data science to cybersecurity. AI helps break through the limitations of traditional algorithms and provides more efficient and flexible methods for solving problems. In this paper, we focus on the applications of artificial intelligence in authentication, which is used in a wide range of scenarios including facial recognition to access buildings, keystroke dynamics to unlock smartphones. With the emerging AI-assisted authentication schemes, our comprehensive survey provides an overall understanding on a high level, which paves the way for future research in this area. In contrast to other relevant surveys, our research is the first of its kind to focus on the roles of AI in authentication.