CCTV-Based Multi-Factor Authentication System
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초록
Many security systems rely solely on solutions based on Artificial Intelligence, which are weak in nature. Thesesecurity solutions can be easily manipulated by malicious users who can gain unlawful access. Some securitysystems suggest using fingerprint-based solutions, but they can be easily deceived by copying fingerprints withclay. Image-based security is undoubtedly easy to manipulate, but it is also a solution that does not require anyspecial training on the part of the user. In this paper, we propose a multi-factor security framework that operatesin a three-step process to authenticate the user. The motivation of the research lies in utilizing commonlyavailable and inexpensive devices such as onsite CCTV cameras and smartphone camera and providing fullysecure user authentication. We have used technologies such as Argon2 for hashing image features and physicallyunclonable identification for secure device-server communication. We also discuss the methodological workflowof the proposed multi-factor authentication framework. In addition, we present the service scenario of theproposed model. Finally, we analyze qualitatively the proposed model and compare it with state-of-the-artmethods to evaluate the usability of the model in real-world applications.
Abstract
Many security systems rely solely on solutions based on Artificial Intelligence, which are weak in nature. Thesesecurity solutions can be easily manipulated by malicious users who can gain unlawful access. Some securitysystems suggest using fingerprint-based solutions, but they can be easily deceived by copying fingerprints withclay. Image-based security is undoubtedly easy to manipulate, but it is also a solution that does not require anyspecial training on the part of the user. In this paper, we propose a multi-factor security framework that operatesin a three-step process to authenticate the user. The motivation of the research lies in utilizing commonlyavailable and inexpensive devices such as onsite CCTV cameras and smartphone camera and providing fullysecure user authentication. We have used technologies such as Argon2 for hashing image features and physicallyunclonable identification for secure device-server communication. We also discuss the methodological workflowof the proposed multi-factor authentication framework. In addition, we present the service scenario of theproposed model. Finally, we analyze qualitatively the proposed model and compare it with state-of-the-artmethods to evaluate the usability of the model in real-world applications.
참고문헌 (28)
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