An authentication method with spatiotemporal interval and partial matching

Masateru Tsunoda, Kyohei Fushida, Yasutaka Kamei, Masahide Nakamura, Kohei Mitsui, Keita Goto, Kenichi Matsumoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In past research, we proposed an authentication method that combines actions with spatiotemporal information such as location, time, and distance. With the method, a user succeeds in authentication when he/she performs preset actions such as pushing button n times on preset intervals defined by spatiotemporal information. In this paper, we improve the authentication method using a partial matching method. We propose two kinds of partial matching methods for pushing button and interval. A type I method assumes the number of pushing button is sometimes less than preset count, but the number never exceeds it, and a user never pushes the button out of preset areas. A type II method assumes the number of pushing button is less or more than preset count occasionally, and a user pushes the button out of preset areas. We showed how to calculate FAR when the type I or II is applied. In the experiment, we compared the type I and II methods with a conventional method to evaluate their security. As a result, the type I method improved false acceptance rate (FAR) from 0.097% to 0.053%. The type II method improved FAR from 0.097% to 0.035%.

Original languageEnglish
Title of host publicationSNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
Pages535-542
Number of pages8
DOIs
Publication statusPublished - Oct 28 2013
Event14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2013 - Honolulu, HI, United States
Duration: Jul 1 2013Jul 3 2013

Publication series

NameSNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

Other

Other14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2013
CountryUnited States
CityHonolulu, HI
Period7/1/137/3/13

Fingerprint

Authentication
Experiments

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software

Cite this

Tsunoda, M., Fushida, K., Kamei, Y., Nakamura, M., Mitsui, K., Goto, K., & Matsumoto, K. (2013). An authentication method with spatiotemporal interval and partial matching. In SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (pp. 535-542). [6598516] (SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing). https://doi.org/10.1109/SNPD.2013.29

An authentication method with spatiotemporal interval and partial matching. / Tsunoda, Masateru; Fushida, Kyohei; Kamei, Yasutaka; Nakamura, Masahide; Mitsui, Kohei; Goto, Keita; Matsumoto, Kenichi.

SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. 2013. p. 535-542 6598516 (SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tsunoda, M, Fushida, K, Kamei, Y, Nakamura, M, Mitsui, K, Goto, K & Matsumoto, K 2013, An authentication method with spatiotemporal interval and partial matching. in SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing., 6598516, SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, pp. 535-542, 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2013, Honolulu, HI, United States, 7/1/13. https://doi.org/10.1109/SNPD.2013.29
Tsunoda M, Fushida K, Kamei Y, Nakamura M, Mitsui K, Goto K et al. An authentication method with spatiotemporal interval and partial matching. In SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. 2013. p. 535-542. 6598516. (SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing). https://doi.org/10.1109/SNPD.2013.29
Tsunoda, Masateru ; Fushida, Kyohei ; Kamei, Yasutaka ; Nakamura, Masahide ; Mitsui, Kohei ; Goto, Keita ; Matsumoto, Kenichi. / An authentication method with spatiotemporal interval and partial matching. SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. 2013. pp. 535-542 (SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing).
@inproceedings{ab2a5329b12440b5b7d18a01ea3ad5da,
title = "An authentication method with spatiotemporal interval and partial matching",
abstract = "In past research, we proposed an authentication method that combines actions with spatiotemporal information such as location, time, and distance. With the method, a user succeeds in authentication when he/she performs preset actions such as pushing button n times on preset intervals defined by spatiotemporal information. In this paper, we improve the authentication method using a partial matching method. We propose two kinds of partial matching methods for pushing button and interval. A type I method assumes the number of pushing button is sometimes less than preset count, but the number never exceeds it, and a user never pushes the button out of preset areas. A type II method assumes the number of pushing button is less or more than preset count occasionally, and a user pushes the button out of preset areas. We showed how to calculate FAR when the type I or II is applied. In the experiment, we compared the type I and II methods with a conventional method to evaluate their security. As a result, the type I method improved false acceptance rate (FAR) from 0.097{\%} to 0.053{\%}. The type II method improved FAR from 0.097{\%} to 0.035{\%}.",
author = "Masateru Tsunoda and Kyohei Fushida and Yasutaka Kamei and Masahide Nakamura and Kohei Mitsui and Keita Goto and Kenichi Matsumoto",
year = "2013",
month = "10",
day = "28",
doi = "10.1109/SNPD.2013.29",
language = "English",
isbn = "9780769550053",
series = "SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing",
pages = "535--542",
booktitle = "SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing",

}

TY - GEN

T1 - An authentication method with spatiotemporal interval and partial matching

AU - Tsunoda, Masateru

AU - Fushida, Kyohei

AU - Kamei, Yasutaka

AU - Nakamura, Masahide

AU - Mitsui, Kohei

AU - Goto, Keita

AU - Matsumoto, Kenichi

PY - 2013/10/28

Y1 - 2013/10/28

N2 - In past research, we proposed an authentication method that combines actions with spatiotemporal information such as location, time, and distance. With the method, a user succeeds in authentication when he/she performs preset actions such as pushing button n times on preset intervals defined by spatiotemporal information. In this paper, we improve the authentication method using a partial matching method. We propose two kinds of partial matching methods for pushing button and interval. A type I method assumes the number of pushing button is sometimes less than preset count, but the number never exceeds it, and a user never pushes the button out of preset areas. A type II method assumes the number of pushing button is less or more than preset count occasionally, and a user pushes the button out of preset areas. We showed how to calculate FAR when the type I or II is applied. In the experiment, we compared the type I and II methods with a conventional method to evaluate their security. As a result, the type I method improved false acceptance rate (FAR) from 0.097% to 0.053%. The type II method improved FAR from 0.097% to 0.035%.

AB - In past research, we proposed an authentication method that combines actions with spatiotemporal information such as location, time, and distance. With the method, a user succeeds in authentication when he/she performs preset actions such as pushing button n times on preset intervals defined by spatiotemporal information. In this paper, we improve the authentication method using a partial matching method. We propose two kinds of partial matching methods for pushing button and interval. A type I method assumes the number of pushing button is sometimes less than preset count, but the number never exceeds it, and a user never pushes the button out of preset areas. A type II method assumes the number of pushing button is less or more than preset count occasionally, and a user pushes the button out of preset areas. We showed how to calculate FAR when the type I or II is applied. In the experiment, we compared the type I and II methods with a conventional method to evaluate their security. As a result, the type I method improved false acceptance rate (FAR) from 0.097% to 0.053%. The type II method improved FAR from 0.097% to 0.035%.

UR - http://www.scopus.com/inward/record.url?scp=84885984191&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84885984191&partnerID=8YFLogxK

U2 - 10.1109/SNPD.2013.29

DO - 10.1109/SNPD.2013.29

M3 - Conference contribution

SN - 9780769550053

T3 - SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

SP - 535

EP - 542

BT - SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

ER -