Kyung-Soo Lim

Kyung-Soo Lim


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 November 2017 in The Journal of Supercomputing
Verified
Journal Article
Closed access
PDF file
SOSeon Ho Oh
Seon Ho Oh
GKGeon-Woo Kim
Geon-Woo Kim
KLKyung-Soo Lim
Kyung-Soo Lim

6 October 2017 in The Journal of Supercomputing
Verified
Journal Article
Closed access
PDF file
YLYun-Kyung Lee
Yun-Kyung Lee
JKJeong-Nyeo Kim
Jeong-Nyeo Kim
KLKyung-Soo Lim
Kyung-Soo Lim
HYHyunsoo Yoon
Hyunsoo Yoon

1 February 2018 in The Journal of Supercomputing
Verified
Journal Article
Closed access
PDF file
SOSeon Ho Oh
Seon Ho Oh
SHSeung-Wan Han
Seung-Wan Han
BCBum-Suk Choi
Bum-Suk Choi
GKGeon-Woo Kim
Geon-Woo Kim
KLKyung-Soo Lim
Kyung-Soo Lim

25 September 2018 in The Journal of Supercomputing
Verified
Journal Article
Closed access
PDF file
JKJuyoung Kim
Juyoung Kim
KCKwantae Cho
Kwantae Cho
YKYong-Kyun Kim
Yong-Kyun Kim
KLKyung-Soo Lim
Kyung-Soo Lim
SSSang Uk Shin
Sang Uk Shin

5 June 2012 in Journal of Intelligent Manufacturing
Verified
Journal Article
Closed access
PDF file
KLKyung-Soo Lim
Kyung-Soo Lim
Changhoon LeeChanghoon Lee
Changhoon Lee
JPJong Hyuk Park
Jong Hyuk Park
SLSang-Jin Lee
Sang-Jin Lee

21 May 2018 in Sustainability
Verified
Journal Article
Open access
PDF file
SKSeung-Hyun Kim
Seung-Hyun Kim
DCDaeseon Choi
Daeseon Choi
SKSoo-Hyung Kim
Soo-Hyung Kim
SCSangrae Cho
Sangrae Cho
KLKyung-Soo Lim
Kyung-Soo Lim
Existing sustainable IT services have several problems related to user authentication such as the inefficiency of managing the system security, low security, and low usability. In this paper, we propose a Fast IDentity Online (FIDO) authenticator that performs continuous authentication with implicit authentication based on user context and multimodal authentication. The proposed FIDO authenticator, a context-aware multimodal FIDO authentication (CAMFA) method, combines information such as the user context, state of the mobile device, and user biometrics, then applies implicit and explicit authentication methods to meet the level of authentication required by the service provider. This reduces the user’s explicit authentication burden and continually authenticates users at risk during the session. Moreover, it is able to respond to attacks such as the theft of the authentication method or session hijacking. To study the effectiveness of CAMFA, we ran a user study by collecting data from 22 participants over 42 days of activity on a practical Android platform. The result of the user study demonstrates that the number of explicit authentication requests could be reduced by half. Based on the results of this study, an advanced user authentication that provides multimodal and continuous authentication could be applied to sustainable IT services.