When two parties need to securely communicate over an insecure channel, Diffie-Hellman is often employed as the key exchange algorithm. This paper presents two novel approaches to generating Diffie-Hellman parameters for key exchange based on user biometrics, namely their fingerprint data. Fingerprint templates are extracted as bit strings via a fingerprint scanner and later usedas inputs. In one approach, the whole fingerprint template is utilized as a user’sprivate key. In the second approach, fingerprint data is scrambled into smallerchunks and rearranged into two strings that serve as the user’s private key andthe basis for primep. Both approaches were implemented and tested experi-mentally. After analysis, the second approach that uses scrambled fingerprintdata shows better execution times and improved security and usability consid-erations.
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