Title :
Generating Repudiable, Memorizable, and Privacy Preserving Security Questions Using the Propp Theory of Narrative
Author :
Lei Pan ; Bangay, Shaun
Author_Institution :
Sch. of Inf. Technol., Deakin Univ., Melbourne, VIC, Australia
Abstract :
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.
Keywords :
data privacy; protocols; 3-component protocol; Propp theory of narrative; communication security; online security questions; personal information; personalized folktale; placeholder replacement; privacy amplification; privacy preserving security questions; public record; security breach; story generation systems; Authentication; Context; Prediction algorithms; Privacy; Protocols; Servers; Propp theory of narrative; authentication; automated text generation; privacy; security; security question; story synthesis;
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-6235-8
DOI :
10.1109/CyberC.2014.20