TY - GEN
T1 - Investigating the Impact of Epilepsy on EEG-based Cryptographic Key Generation Systems
AU - Nguyen, Dang
AU - Tran, Dat
AU - Sharma, Dharmendra
AU - Ma, Wanli
PY - 2017/9/1
Y1 - 2017/9/1
N2 - In this study, we investigate the impact of epilepsy on EEG-based cryptographic key generation systems. Epilepsy is one of the brain disorders that involves in the EEG signal and hence it may have impact on the system. However, this issue has not been investigated. To solve this problem, we propose a system for cryptographic key generation from EEG signals, and experiment it with the Australian EEG dataset. We used parametric spectrum estimate technique for feature exaction, and devised an error-correction quantization technique that is useful for a noisy data such as EEG. We performed experiments on two groups of subjects, epileptic and non-epileptic to investigate the impact of epilepsy on the success rate of the system. Experimental results show that epilepsy actually has an impact on the performance of the system.
AB - In this study, we investigate the impact of epilepsy on EEG-based cryptographic key generation systems. Epilepsy is one of the brain disorders that involves in the EEG signal and hence it may have impact on the system. However, this issue has not been investigated. To solve this problem, we propose a system for cryptographic key generation from EEG signals, and experiment it with the Australian EEG dataset. We used parametric spectrum estimate technique for feature exaction, and devised an error-correction quantization technique that is useful for a noisy data such as EEG. We performed experiments on two groups of subjects, epileptic and non-epileptic to investigate the impact of epilepsy on the success rate of the system. Experimental results show that epilepsy actually has an impact on the performance of the system.
KW - Cryptographic key
KW - EEG
KW - Epilepsy
UR - http://www.scopus.com/inward/record.url?scp=85032343692&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2017.08.015
DO - 10.1016/j.procs.2017.08.015
M3 - Conference contribution
AN - SCOPUS:85032343692
VL - 112
T3 - Procedia Computer Science
SP - 177
EP - 185
BT - Procedia Computer Science
PB - Elsevier
CY - Netherlands
T2 - 21st International Conference on Knowledge - Based and Intelligent Information and Engineering Systems
Y2 - 6 September 2017 through 8 September 2017
ER -