CCTV-Based Multi-Factor Authentication System
Byoung-Wook Kwon, Pradip Kumar Sharma, Jong-Hyuk Park, Journal of Information Processing Systems Vol. 15, No. 4, pp. 904-919, Aug. 2019
https://doi.org/10.3745/JIPS.03.0127
Keywords: Argon2, Convolutional Neural Network, Deep Reinforcement Learning, Physically Unclonable Functions
Fulltext:
Abstract
Statistics
Show / Hide Statistics
Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.
Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.
|
Cite this article
[APA Style]
Kwon, B., Sharma, P., & Park, J. (2019). CCTV-Based Multi-Factor Authentication System. Journal of Information Processing Systems, 15(4), 904-919. DOI: 10.3745/JIPS.03.0127.
[IEEE Style]
B. Kwon, P. K. Sharma, J. Park, "CCTV-Based Multi-Factor Authentication System," Journal of Information Processing Systems, vol. 15, no. 4, pp. 904-919, 2019. DOI: 10.3745/JIPS.03.0127.
[ACM Style]
Byoung-Wook Kwon, Pradip Kumar Sharma, and Jong-Hyuk Park. 2019. CCTV-Based Multi-Factor Authentication System. Journal of Information Processing Systems, 15, 4, (2019), 904-919. DOI: 10.3745/JIPS.03.0127.