Abstract
In any network, security is considered to be the major issue because of intruders. The motivation of this research is to achieve security in transmission of information by using dual-fingerprint combined with encryption algorithm called elliptic curve cryptography (bio-cryptography). The crypto system’s strength lies in the key used for encryption and decryption. For human users, it is very difficult to remember long cryptographic keys. This paper focuses on generation of cryptographic keys based on fusion approach of fingerprints which reduces the complexity of other traditional cryptosystems. Biometric features like fingerprints are permanent throughout person’s lifespan. We propose fingerprint key generation scheme, which is robust and used for encryption and decryption in elliptic curve cryptography. For measuring a performance, false acceptance ratio and false rejection ratio are used. This method is evaluated using FVC2004, a fingerprint publicly available database.
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Pagar, Y.S., Chowdhary, G.V. (2020). Strengthening Elliptic Curve Cryptography—Key Generation via Biometric Fusion Approach. In: Iyer, B., Deshpande, P., Sharma, S., Shiurkar, U. (eds) Computing in Engineering and Technology. Advances in Intelligent Systems and Computing, vol 1025. Springer, Singapore. https://doi.org/10.1007/978-981-32-9515-5_9
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DOI: https://doi.org/10.1007/978-981-32-9515-5_9
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