Microsoft Corporation
Authentication with random noise symbols and pattern recognition

Last updated:

Abstract:

Disclosed in some examples are methods, systems and machine-readable mediums which allow for more secure authentication attempts by implementing authentication systems with credentials that include interspersed noise symbols in positions determined by the user. These systems secure against eavesdroppers such as shoulder-surfers or man-in-the middle attacks as it is difficult for an eavesdropper to separate the noise symbols from legitimate credential symbols.

Status:
Grant
Type:

Utility

Filling date:

10 Jun 2019

Issue date:

22 Feb 2022