A dynamic fuzzy commitment scheme using ARRSES forecasting

Author

Choto, S. ; Premasathian, N.

Author_Institution

Fac. of Inf. Technol., King Mongkut´´s Inst. of Technol. Ladkrabang, Bangkok, Thailand

fYear

2012

fDate

10-12 Dec. 2012

Firstpage

616

Lastpage

619

Abstract

A dynamic fuzzy commitment scheme gradually changes its stored commitment by the time while retains the fuzzy authentication behavior. When an entry passes the authentication, its value is taken to update the commitment. In this paper, we propose simplified Adaptive Response Rate Single Exponential Smoothing (ARRSES) which can be used to forecast the next commitment by using the authenticated input together with the existing commitment. The dynamic fuzzy commitment scheme using ARRSES forecasting stores only one commitment. We have the value of smoothing constant adjusted according to the characteristics of the data. The optimal beta is recommended to achieve the highest successful authentication rate.

Keywords

cryptography; fuzzy set theory; ARRSES forecasting; adaptive response rate single exponential smoothing forecasting; authenticated input; authentication rate; commitment storage; cryptography; dynamic fuzzy commitment scheme; fuzzy authentication behavior; Forecasting; biometric authentication; dynamic fuzzy commitment; fuzzy commitment; fuzzy commitment authentication;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet Technology And Secured Transactions, 2012 International Conference for

Conference_Location

London

Print_ISBN

978-1-4673-5325-0

Type

conf

Filename

6470890