Generating Memorable Mnemonic Encodings of Numbers
This addresses the problem of creating memorable passwords for users, though it is incremental as it builds on existing mnemonic systems like the major system.
The authors tackled the problem of automatically generating memorable mnemonic sentences to encode numbers, finding that a model combining part-of-speech sentence templates with an n-gram language model produced the most memorable password representations in a study.
The major system is a mnemonic system that can be used to memorize sequences of numbers. In this work, we present a method to automatically generate sentences that encode a given number. We propose several encoding models and compare the most promising ones in a password memorability study. The results of the study show that a model combining part-of-speech sentence templates with an $n$-gram language model produces the most memorable password representations.