Generating repudiable, memorizable and privacy preserving security questions using the Propp Theory of Narrative

 Security questions are often based on personal information that is limited in variety, available in the public record and very difficult to change if compromised. A personalized folktale shared only by the communicating parties provides memorizable basis for individualized security questions that can be readily replaced in the event of a security breach. We utilize the Propp theory of narrative to provide a basis of abstraction for story generation systems. We develop a proof-of-concept system based on placeholder replacement to demonstrate the generation of repudiate and memorizable questions and answers suitable for online security questions. A 3-component protocol is presented that demonstrates the use of this process to derive a shared secret key through privacy amplification. This combination of story generation and communication security provides the basis for improvements in current security question practice

Exploring the Potential of Concept Associations for the Creative Generation of Linguistic Artifacts: A Case Study With Riddles and Rhetorical Figures

Automatic generation of linguistic artifacts is a problem that has been sporadically tackled over the years. The main goal of this paper is to explore how concept associations can be useful from a computational creativity point of view to generate some of these artifacts. We present an approach where finding associations between concepts that would not usually be considered as related (for example life and politics or diamond and concrete) could be the seed for the generation of creative and surprising linguistic artifacts such as rhetorical figures (life is like politics) and riddles (what is as hard as concrete?). Human volunteers evaluated the quality and appropriateness of the generated figures and riddles, and the results show that the concept associations obtained are useful for producing these kinds of creative artifacts