DocumentCode
188189
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
fYear
2014
fDate
13-15 Oct. 2014
Firstpage
66
Lastpage
72
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2014 International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4799-6235-8
Type
conf
DOI
10.1109/CyberC.2014.20
Filename
6984283
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