JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
CCTV-Based Multi-Factor Authentication System |
| 영문제목(English Title) |
CCTV-Based Multi-Factor Authentication System |
| 저자(Author) |
Byoung-Wook Kwon
Pradip Kumar Sharma
Jong-Hyuk Park
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| 원문수록처(Citation) |
VOL 15 NO. 04 PP. 0904 ~ 0919 (2019. 08) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Many security systems rely solely on solutions based on Artificial Intelligence, which are weak in nature. These security solutions can be easily manipulated by malicious users who can gain unlawful access. Some security systems suggest using fingerprint-based solutions, but they can be easily deceived by copying fingerprints with clay. Image-based security is undoubtedly easy to manipulate, but it is also a solution that does not require any special training on the part of the user. In this paper, we propose a multi-factor security framework that operates in a three-step process to authenticate the user. The motivation of the research lies in utilizing commonly available and inexpensive devices such as onsite CCTV cameras and smartphone camera and providing fully secure user authentication. We have used technologies such as Argon2 for hashing image features and physically unclonable identification for secure device-server communication. We also discuss the methodological workflow of the proposed multi-factor authentication framework. In addition, we present the service scenario of the proposed model. Finally, we analyze qualitatively the proposed model and compare it with state-of-the-art methods to evaluate the usability of the model in real-world applications.
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| 키워드(Keyword) |
Argon2
Convolutional Neural Network
Deep Reinforcement Learning
Physically Unclonable Functions
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| 파일첨부 |
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