Emotional Influences on Cryptographic Key Generation Systems using EEG signals

Research output: A Conference proceeding or a Chapter in BookConference contribution

1 Citation (Scopus)
2 Downloads (Pure)

Abstract

This paper presents a research conducted to verify the influences of emotion on electroencephalogram (EEG)-based cryptographic key generation system. Emotion, such as negative and positive feelings, involves in EEG signal, and hence it may influence on the system. This issue has not been analyzed. Using parametric spectral estimation technique for feature extraction, and devised a quantization technique for error correction, a key is generated from EEG data. These techniques are believed to be suitable for a noisy data such as EEG. For experiment implementation, we use the Database for Emotion Analysis using Physiological Signals (DEAP) dataset. The emotional dimensions used are valence (positive and negative) and arousal (calm and excited) that is divided each in two classes: low and high. For experimental methodology, we performed on two groups of subjects, valence and arousal. Experimental results show that emotion actually has impacts on the performance of the system.
Original languageEnglish
Title of host publication22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018
EditorsRobert J. Howlett, Lakhmi C. Jain, Zoran Popovic, Dejan Popovic, Slobodan Vukosavic, Carlos Toro, Yulia Hicks
Place of PublicationBelgrade, Serbia
PublisherElsevier
Pages703-712
Number of pages10
Volume126
DOIs
Publication statusPublished - 3 Sep 2018
Event22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems - Metropol Palace Hotel , Belgrade, Serbia
Duration: 3 Sep 20185 Sep 2018
http://kes2018.kesinternational.org/

Publication series

NameProcedia Computer Science
PublisherElsevier BV
ISSN (Print)1877-0509

Conference

Conference22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems
Abbreviated titleKES 2018
CountrySerbia
CityBelgrade
Period3/09/185/09/18
Internet address

Fingerprint

Electroencephalography
Error correction
Feature extraction
Experiments

Cite this

NGUYEN, D., TRAN, D., SHARMA, D., & MA, W. (2018). Emotional Influences on Cryptographic Key Generation Systems using EEG signals. In R. J. Howlett, L. C. Jain, Z. Popovic, D. Popovic, S. Vukosavic, C. Toro, & Y. Hicks (Eds.), 22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018 (Vol. 126, pp. 703-712). (Procedia Computer Science). Belgrade, Serbia: Elsevier. https://doi.org/10.1016/j.procs.2018.08.004
NGUYEN, Dang ; TRAN, Dat ; SHARMA, Dharmendra ; MA, Wanli. / Emotional Influences on Cryptographic Key Generation Systems using EEG signals. 22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018. editor / Robert J. Howlett ; Lakhmi C. Jain ; Zoran Popovic ; Dejan Popovic ; Slobodan Vukosavic ; Carlos Toro ; Yulia Hicks. Vol. 126 Belgrade, Serbia : Elsevier, 2018. pp. 703-712 (Procedia Computer Science).
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title = "Emotional Influences on Cryptographic Key Generation Systems using EEG signals",
abstract = "This paper presents a research conducted to verify the influences of emotion on electroencephalogram (EEG)-based cryptographic key generation system. Emotion, such as negative and positive feelings, involves in EEG signal, and hence it may influence on the system. This issue has not been analyzed. Using parametric spectral estimation technique for feature extraction, and devised a quantization technique for error correction, a key is generated from EEG data. These techniques are believed to be suitable for a noisy data such as EEG. For experiment implementation, we use the Database for Emotion Analysis using Physiological Signals (DEAP) dataset. The emotional dimensions used are valence (positive and negative) and arousal (calm and excited) that is divided each in two classes: low and high. For experimental methodology, we performed on two groups of subjects, valence and arousal. Experimental results show that emotion actually has impacts on the performance of the system.",
keywords = "Knowledge discovery, Electroencephalogram, Cryptographic key, Emotion, valence, Arousal, NIST test suite, emotion, NIST, cryptographic key, arousal",
author = "Dang NGUYEN and Dat TRAN and Dharmendra SHARMA and Wanli MA",
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NGUYEN, D, TRAN, D, SHARMA, D & MA, W 2018, Emotional Influences on Cryptographic Key Generation Systems using EEG signals. in RJ Howlett, LC Jain, Z Popovic, D Popovic, S Vukosavic, C Toro & Y Hicks (eds), 22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018. vol. 126, Procedia Computer Science, Elsevier, Belgrade, Serbia, pp. 703-712, 22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, Belgrade, Serbia, 3/09/18. https://doi.org/10.1016/j.procs.2018.08.004

Emotional Influences on Cryptographic Key Generation Systems using EEG signals. / NGUYEN, Dang; TRAN, Dat; SHARMA, Dharmendra; MA, Wanli.

22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018. ed. / Robert J. Howlett; Lakhmi C. Jain; Zoran Popovic; Dejan Popovic; Slobodan Vukosavic; Carlos Toro; Yulia Hicks. Vol. 126 Belgrade, Serbia : Elsevier, 2018. p. 703-712 (Procedia Computer Science).

Research output: A Conference proceeding or a Chapter in BookConference contribution

TY - GEN

T1 - Emotional Influences on Cryptographic Key Generation Systems using EEG signals

AU - NGUYEN, Dang

AU - TRAN, Dat

AU - SHARMA, Dharmendra

AU - MA, Wanli

PY - 2018/9/3

Y1 - 2018/9/3

N2 - This paper presents a research conducted to verify the influences of emotion on electroencephalogram (EEG)-based cryptographic key generation system. Emotion, such as negative and positive feelings, involves in EEG signal, and hence it may influence on the system. This issue has not been analyzed. Using parametric spectral estimation technique for feature extraction, and devised a quantization technique for error correction, a key is generated from EEG data. These techniques are believed to be suitable for a noisy data such as EEG. For experiment implementation, we use the Database for Emotion Analysis using Physiological Signals (DEAP) dataset. The emotional dimensions used are valence (positive and negative) and arousal (calm and excited) that is divided each in two classes: low and high. For experimental methodology, we performed on two groups of subjects, valence and arousal. Experimental results show that emotion actually has impacts on the performance of the system.

AB - This paper presents a research conducted to verify the influences of emotion on electroencephalogram (EEG)-based cryptographic key generation system. Emotion, such as negative and positive feelings, involves in EEG signal, and hence it may influence on the system. This issue has not been analyzed. Using parametric spectral estimation technique for feature extraction, and devised a quantization technique for error correction, a key is generated from EEG data. These techniques are believed to be suitable for a noisy data such as EEG. For experiment implementation, we use the Database for Emotion Analysis using Physiological Signals (DEAP) dataset. The emotional dimensions used are valence (positive and negative) and arousal (calm and excited) that is divided each in two classes: low and high. For experimental methodology, we performed on two groups of subjects, valence and arousal. Experimental results show that emotion actually has impacts on the performance of the system.

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KW - Electroencephalogram

KW - Cryptographic key

KW - Emotion

KW - valence

KW - Arousal

KW - NIST test suite

KW - emotion

KW - NIST

KW - cryptographic key

KW - arousal

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U2 - 10.1016/j.procs.2018.08.004

DO - 10.1016/j.procs.2018.08.004

M3 - Conference contribution

VL - 126

T3 - Procedia Computer Science

SP - 703

EP - 712

BT - 22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018

A2 - Howlett, Robert J.

A2 - Jain, Lakhmi C.

A2 - Popovic, Zoran

A2 - Popovic, Dejan

A2 - Vukosavic, Slobodan

A2 - Toro, Carlos

A2 - Hicks, Yulia

PB - Elsevier

CY - Belgrade, Serbia

ER -

NGUYEN D, TRAN D, SHARMA D, MA W. Emotional Influences on Cryptographic Key Generation Systems using EEG signals. In Howlett RJ, Jain LC, Popovic Z, Popovic D, Vukosavic S, Toro C, Hicks Y, editors, 22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018. Vol. 126. Belgrade, Serbia: Elsevier. 2018. p. 703-712. (Procedia Computer Science). https://doi.org/10.1016/j.procs.2018.08.004