CRMar 6, 2017

AutoPass: An Automatic Password Generator

arXiv:1703.01959v213 citations
Originality Incremental advance
AI Analysis

This solves the password management problem for users of Internet services, but it is incremental as it builds on existing password generator concepts.

The paper tackles the problem of generating and managing strong, site-unique passwords by proposing AutoPass, an automatic password generator that addresses issues in prior schemes and enables features like forced password changes and site-specific requirements.

Text password has long been the dominant user authentication technique and is used by large numbers of Internet services. If they follow recommended practice, users are faced with the almost insuperable problem of generating and managing a large number of site-unique and strong (i.e. non-guessable) passwords. One way of addressing this problem is through the use of a password generator, i.e. a client-side scheme which generates (and regenerates) site-specific strong passwords on demand, with the minimum of user input. This paper provides a detailed specification and analysis of AutoPass, a password generator scheme previously outlined as part of a general analysis of such schemes. AutoPass has been designed to address issues identified in previously proposed password generators, and incorporates novel techniques to address these issues. Unlike almost all previously proposed schemes, AutoPass enables the generation of passwords that meet important real-world requirements, including forced password changes, use of pre-specified passwords, and generation of passwords meeting site-specific requirements.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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