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File Security Using Hybrid Cryptography and Face Recognition

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Mobile Computing and Sustainable Informatics

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 68))

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Abstract

Currently, data security has been a major issue as data is usually transferred over the Internet between users. Some security flaw might leak sensitive data. For resolving this, we can use cryptography to secure data so that other unauthorized individuals can’t access the data stored in the file. Use of one cryptography algorithm might not provide higher level security for sensitive data. In this paper, we have proposed a new security system which uses three separate cryptography algorithms to provide better security for the data and facial recognition to verify the user who is currently using the system to provide better security. The file to be secured is split into three parts and is encrypted using AES, Blowfish and Twofish, respectively. File and user information are added to the database. The user of the system is verified using facial recognition during the authorization process in decryption phase.

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Khadka, S., Shah, N., Shrestha, R., Acharya, S., Karna, N. (2022). File Security Using Hybrid Cryptography and Face Recognition. In: Shakya, S., Bestak, R., Palanisamy, R., Kamel, K.A. (eds) Mobile Computing and Sustainable Informatics. Lecture Notes on Data Engineering and Communications Technologies, vol 68. Springer, Singapore. https://doi.org/10.1007/978-981-16-1866-6_38

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