Generating random pass-phrases using word-level recurrent neural networks

An article of manufacture comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code is executable by one or more processors to perform a method which comprises:

• receiving a request for a random pass-phrase for use as an authentication factor for a registered user to access an information system;
• performing an iterative pass-phrase generation process to generate the random pass-phrase in response to the received request, wherein the iterative pass-phrase generation process comprises at least an first iteration which comprises:
• obtaining an initial seed phrase comprising at least a portion of a text sentence from a text corpus of training data associated with a word-level recurrent neural network (RNN) model trained using the text corpus of training data;
• obtaining a random bit string having a specified bit-length;
• inputting the initial seed phrase to the input of the word-level RNN model to obtain prediction results, wherein the prediction results comprises a plurality of predicted words from the text corpus and associated likelihood values, wherein the likelihood value for a given predicted word indicates a likelihood that the given predicted word is a next word following the initial seed phrase;
• generating a binary tree data structure representing the prediction results, wherein leaf nodes of the binary tree data structure each correspond to one of the predicted words;
• traversing the binary tree data structure using a portion of the random bit string to identify a word at a leaf node of the binary tree data structure which matches the portion of the random bit string;
• and
• selecting the identified word as a first constituent word of the random pass-phrase.

A system, comprising:

• memory to store software instructions;
• and
• one or more processors to execute the software instructions to perform a method which comprises:
• receiving a request for a random pass-phrase for use as an authentication factor for a registered user to access an information system;
• performing an iterative pass-phrase generation process to generate the random pass-phrase in response to the received request, wherein the iterative pass-phrase generation process comprises at least an first iteration which comprises:
• obtaining an initial seed phrase comprising at least a portion of a text sentence from a text corpus of training data associated with a word-level recurrent neural network (RNN) model trained using the text corpus of training data;
• obtaining a random bit string having a specified bit-length;
• inputting the initial seed phrase to the input of the word-level RNN model to obtain prediction results, wherein the prediction results comprises a plurality of predicted words from the text corpus and associated likelihood values, wherein the likelihood value for a given predicted word indicates a likelihood that the given predicted word is a next word following the initial seed phrase;
• generating a binary tree data structure representing the prediction results, wherein leaf nodes of the binary tree data structure each correspond to one of the predicted words;
• traversing the binary tree data structure using a portion of the random bit string to identify a word at a leaf node of the binary tree data structure which matches the portion of the random bit string;
• and
• selecting the identified word as a first constituent word of the random pass-phrase.