On the Study of Impacts of Brain Conditions on EEG-based Cryptographic Key Generation Systems

Dang NGUYEN; Dat TRAN; Dharmendra SHARMA; Wanli MA

doi:10.1016/j.procs.2018.08.005

On the Study of Impacts of Brain Conditions on EEG-based Cryptographic Key Generation Systems

Dang NGUYEN, Dat TRAN, Dharmendra SHARMA, Wanli MA

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

2 Citations (Scopus)

65 Downloads (Pure)

Abstract

In this paper, we investigate impacts of brain conditions on an EEG-based cryptographic key generation system. Brain disorders, such as epilepsy and alcohol, involve in the EEG signal and hence it may have impacts on the system. This issue has not been analyzed in the literature. To solve this issue, we introduce a method for key generation from EEG signals, and implement experiments on the Australian EEG and the Alcoholism datasets. We use parametric spectrum estimate technique for feature exaction, and devised a error-correction quantization technique that is useful for a noisy data such as EEG. For experimental methodology, we perform on two groups of subjects, epileptic and non-epileptic, alcoholic and non-alcoholic to investigate the impact of brain conditions on the success rate of system. Experimental results show that both epilepsy and alcoholic actually have impacts on the performance of system.

Original language	English
Title of host publication	22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES 2018)
Editors	Robert J. Howlett, Carlos Toro, Yulia Hicks, Lakhmi C. Jain
Place of Publication	Belgrade, Serbia
Publisher	Elsevier B.V
Pages	713-722
Number of pages	10
Volume	126
DOIs	https://doi.org/10.1016/j.procs.2018.08.005
Publication status	Published - Sept 2018
Event	22nd International Conference on Knowledge - Based and Intelligent Information and Engineering Systems - Metropol Palace Hotel , Belgrade, Serbia Duration: 3 Sept 2018 → 5 Sept 2018 http://kes2018.kesinternational.org/

Publication series

Name	Procedia Computer Science
Publisher	Elsevier
Volume	126
ISSN (Electronic)	1877-0509

Conference

Conference	22nd International Conference on Knowledge - Based and Intelligent Information and Engineering Systems
Abbreviated title	KES 2018
Country/Territory	Serbia
City	Belgrade
Period	3/09/18 → 5/09/18
Internet address	http://kes2018.kesinternational.org/

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NGUYEN, D., TRAN, D., SHARMA, D., & MA, W. (2018). On the Study of Impacts of Brain Conditions on EEG-based Cryptographic Key Generation Systems. In R. J. Howlett, C. Toro, Y. Hicks, & L. C. Jain (Eds.), 22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES 2018) (Vol. 126, pp. 713-722). (Procedia Computer Science; Vol. 126). Elsevier B.V. https://doi.org/10.1016/j.procs.2018.08.005

NGUYEN, Dang ; TRAN, Dat ; SHARMA, Dharmendra et al. / On the Study of Impacts of Brain Conditions on EEG-based Cryptographic Key Generation Systems. 22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES 2018). editor / Robert J. Howlett ; Carlos Toro ; Yulia Hicks ; Lakhmi C. Jain. Vol. 126 Belgrade, Serbia : Elsevier B.V, 2018. pp. 713-722 (Procedia Computer Science).

@inproceedings{c2adf840069a45638178f75bb10f89e3,

title = "On the Study of Impacts of Brain Conditions on EEG-based Cryptographic Key Generation Systems",

abstract = "In this paper, we investigate impacts of brain conditions on an EEG-based cryptographic key generation system. Brain disorders, such as epilepsy and alcohol, involve in the EEG signal and hence it may have impacts on the system. This issue has not been analyzed in the literature. To solve this issue, we introduce a method for key generation from EEG signals, and implement experiments on the Australian EEG and the Alcoholism datasets. We use parametric spectrum estimate technique for feature exaction, and devised a error-correction quantization technique that is useful for a noisy data such as EEG. For experimental methodology, we perform on two groups of subjects, epileptic and non-epileptic, alcoholic and non-alcoholic to investigate the impact of brain conditions on the success rate of system. Experimental results show that both epilepsy and alcoholic actually have impacts on the performance of system.",

keywords = "Knowledge discovery, EEG, Cryptographic key, Epilepsy, Alcohol, NIST test suite",

author = "Dang NGUYEN and Dat TRAN and Dharmendra SHARMA and Wanli MA",

year = "2018",

month = sep,

doi = "10.1016/j.procs.2018.08.005",

language = "English",

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booktitle = "22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES 2018)",

note = "22nd International Conference on Knowledge - Based and Intelligent Information and Engineering Systems, KES 2018 ; Conference date: 03-09-2018 Through 05-09-2018",

url = "http://kes2018.kesinternational.org/",

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NGUYEN, D, TRAN, D , SHARMA, D & MA, W 2018, On the Study of Impacts of Brain Conditions on EEG-based Cryptographic Key Generation Systems. in RJ Howlett, C Toro, Y Hicks & LC Jain (eds), 22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES 2018). vol. 126, Procedia Computer Science, vol. 126, Elsevier B.V, Belgrade, Serbia, pp. 713-722, 22nd International Conference on Knowledge - Based and Intelligent Information and Engineering Systems, Belgrade, Serbia, 3/09/18. https://doi.org/10.1016/j.procs.2018.08.005

On the Study of Impacts of Brain Conditions on EEG-based Cryptographic Key Generation Systems. / NGUYEN, Dang; TRAN, Dat ; SHARMA, Dharmendra et al.
22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES 2018). ed. / Robert J. Howlett; Carlos Toro; Yulia Hicks; Lakhmi C. Jain. Vol. 126 Belgrade, Serbia: Elsevier B.V, 2018. p. 713-722 (Procedia Computer Science; Vol. 126).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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AU - TRAN, Dat

AU - SHARMA, Dharmendra

AU - MA, Wanli

PY - 2018/9

Y1 - 2018/9

N2 - In this paper, we investigate impacts of brain conditions on an EEG-based cryptographic key generation system. Brain disorders, such as epilepsy and alcohol, involve in the EEG signal and hence it may have impacts on the system. This issue has not been analyzed in the literature. To solve this issue, we introduce a method for key generation from EEG signals, and implement experiments on the Australian EEG and the Alcoholism datasets. We use parametric spectrum estimate technique for feature exaction, and devised a error-correction quantization technique that is useful for a noisy data such as EEG. For experimental methodology, we perform on two groups of subjects, epileptic and non-epileptic, alcoholic and non-alcoholic to investigate the impact of brain conditions on the success rate of system. Experimental results show that both epilepsy and alcoholic actually have impacts on the performance of system.

AB - In this paper, we investigate impacts of brain conditions on an EEG-based cryptographic key generation system. Brain disorders, such as epilepsy and alcohol, involve in the EEG signal and hence it may have impacts on the system. This issue has not been analyzed in the literature. To solve this issue, we introduce a method for key generation from EEG signals, and implement experiments on the Australian EEG and the Alcoholism datasets. We use parametric spectrum estimate technique for feature exaction, and devised a error-correction quantization technique that is useful for a noisy data such as EEG. For experimental methodology, we perform on two groups of subjects, epileptic and non-epileptic, alcoholic and non-alcoholic to investigate the impact of brain conditions on the success rate of system. Experimental results show that both epilepsy and alcoholic actually have impacts on the performance of system.

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KW - EEG

KW - Cryptographic key

KW - Epilepsy

KW - Alcohol

KW - NIST test suite

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A2 - Toro, Carlos

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A2 - Jain, Lakhmi C.

PB - Elsevier B.V

CY - Belgrade, Serbia

T2 - 22nd International Conference on Knowledge - Based and Intelligent Information and Engineering Systems

Y2 - 3 September 2018 through 5 September 2018

ER -

NGUYEN D, TRAN D , SHARMA D , MA W. On the Study of Impacts of Brain Conditions on EEG-based Cryptographic Key Generation Systems. In Howlett RJ, Toro C, Hicks Y, Jain LC, editors, 22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES 2018). Vol. 126. Belgrade, Serbia: Elsevier B.V. 2018. p. 713-722. (Procedia Computer Science). doi: 10.1016/j.procs.2018.08.005

On the Study of Impacts of Brain Conditions on EEG-based Cryptographic Key Generation Systems

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