Biometric-based cryptographic key generation is regarded as a data mining application that uses knowledge discovery techniques to extract biometric information to generate cryptographic keys. This application has been widely used in security systems to limit the weakness of passwords. Although conventional biometrics such as fingerprint, face, voice, and handwriting contain biometric information that is unique and repeatable for each individual, they are difficult to change to be used in different purposes. In this paper, we propose a system to exploit human electroencephalography (EEG) data as a new biometric for cryptographic key generation. This system provides high potential because EEG is impossible to be faked or compromised. Our experiments show that the proposed system provides good performance comparing with other biometric-based cryptographic key generation systems.
|Number of pages||9|
|Publication status||Published - 6 Dec 2016|
|Event||14th Australasian Data Mining Conference, AusDM 2016 - Canberra, Australia|
Duration: 6 Dec 2016 → 8 Dec 2016
|Conference||14th Australasian Data Mining Conference, AusDM 2016|
|Period||6/12/16 → 8/12/16|