Adversary Models for Mobile Device Authentication. Mayrhofer, R. & Sigg, S. ACM Computing Surveys, ACM, 2021.
doi  abstract   bibtex   
Mobile device authentication has been a highly active research topic for over 10 years, with a vast range of methods proposed and analyzed. In related areas, such as secure channel protocols, remote authentication, or desktop user authentication, strong, systematic, and increasingly formal threat models have been established and are used to qualitatively compare different methods. However, the analysis of mobile device authentication is often based on weak adversary models, suggesting overly optimistic results on their respective security. In this article, we introduce a new classification of adversaries to better analyze and compare mobile device authentication methods. We apply this classification to a systematic literature survey. The survey shows that security is still an afterthought and that most proposed protocols lack a comprehensive security analysis. The proposed classification of adversaries provides a strong and practical adversary model that offers a comparable and transparent classification of security properties in mobile device authentication.
@article{Mayrhofer_2021_ACMCS,
author={Rene Mayrhofer and Stephan Sigg},
journal={ACM Computing Surveys},
title={Adversary Models for Mobile Device Authentication},
year={2021},
abstract={Mobile device authentication has been a highly active research topic for over 10 years, with a vast range of methods proposed and analyzed. 
In related areas, such as secure channel protocols, remote authentication, or desktop user authentication, strong, systematic, and increasingly formal threat models have been established and are used to qualitatively compare different methods. 
However, the analysis of mobile device authentication is often based on weak adversary models, suggesting overly optimistic results on their respective security. 
In this article, we introduce a new classification of adversaries to better analyze and compare mobile device authentication methods. We apply this classification to a systematic literature survey. The survey shows that security is still an afterthought and that most proposed protocols lack a comprehensive security analysis. 
The proposed classification of adversaries provides a strong and practical adversary model that offers a comparable and transparent classification of security properties in mobile device authentication.
},
issue_date = {to appear},
publisher = {ACM},
volume = { },
number = { },
pages = {1-33},
group = {ambience},
doi = {10.1145/3477601}
}

Downloads: 0