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Artificial Intelligence and Communication Technologies

A Finger Vein Security System Using DNA Encryption, LSB Data Hiding and Image Scrambling

Authors: Dnyaneshwari P. Wagh, Fadewar H. S and Shinde G. N


Publishing Date: 10-03-2023

ISBN: 978-81-955020-5-9

DOI: https://doi.org/10.52458/978-81-955020-5-9-79

Abstract

Finger vein technology is a secure biometric solution, reliable and non-invasive that provides authentication from fast and highly accurate identity to access data or secure areas. The personal information security in cyberspace has gradually become an important topic nowadays, and biometric identification technology has emerged as the times require. Finger vein authenticated person information security is another prominent problem in the research area. So, by combining the information security and finger vein image security will improve the security of the whole system. This paper proposes a finger vein image security system using DNA encryption, image scrambling with LSB steganography technique. The secret data of the user is first encrypted using DNA encryption. LSB data hiding is used to hide this encrypted secret data in the finger vein image. This method consists of replacing the least significant bit, the last bit of each byte, of the pixels of an image with the bits of the information to be hidden. The security of the user is given importance by encrypting the details and then hiding the information. The stego image is then encrypted using image scrambling technique. To match a user’s vein, the image is descrambled and then compared to the finger vein based on the data extracted from the image. The proposed model provides security to the user information as well as the finger vein image.

Keywords

DNA encryption, Finger vein, Steganography, LSB data hiding.

Cite as

Dnyaneshwari P. Wagh, Fadewar H. S and Shinde G. N, "A Finger Vein Security System Using DNA Encryption, LSB Data Hiding and Image Scrambling", In: Saroj Hiranwal and Garima Mathur (eds), Artificial Intelligence and Communication Technologies, SCRS, India, 2023, pp. 847-856. https://doi.org/10.52458/978-81-955020-5-9-79

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