Title: Personal authentication based on buying history applying classification method

Authors: Takeshi Sano, Eri Sato-Shimokawara, Toru Yamaguchi

Addresses: Information and Communications Systems Engineering, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan. ' Information and Communications Systems Engineering, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan. ' Information and Communications Systems Engineering, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan

Abstract: Recently, we have seen lot of problems including illegal access or credit use from computers or mobile phones and spoofing for them. Especially mobile phones have been confronting serious problems now that they have functions of wallet or credit card. Recognising the possibility of mobile crimes like spoofing, authors believe that many people are used to utilising these mobile functions. As for buying history, this will be accumulated into equipments in the future instead of receiving receipts. In our daily life, we have lot of opportunities to get receipts, which tend to represent our preference or lifestyle habit. So the authors propose a method to authenticate a person based on their buying history receipts applying classification methods when they use a buying system. This is also considered to be available for equipments which accumulate the buying history in them.

Keywords: anti-spoofing; buying history; classification methods; spoofing; biometrics; personal authentication; receipts; mobile crimes.

DOI: 10.1504/IJBM.2008.020145

International Journal of Biometrics, 2008 Vol.1 No.2, pp.209 - 230

Published online: 30 Aug 2008 *

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