Emotional Influences on Cryptographic Key Generation Systems using EEG signals

Dang NGUYEN; Dat TRAN; Dharmendra SHARMA; Wanli MA

doi:10.1016/j.procs.2018.08.004

Emotional Influences on Cryptographic Key Generation Systems using EEG signals

Dang NGUYEN, Dat TRAN, Dharmendra SHARMA, Wanli MA

Information Systems

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

3 Citations (Scopus)

86 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 language	English
Title of host publication	22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018
Editors	Robert J. Howlett, Lakhmi C. Jain, Zoran Popovic, Dejan Popovic, Slobodan Vukosavic, Carlos Toro, Yulia Hicks
Place of Publication	Belgrade, Serbia
Publisher	Elsevier
Pages	703-712
Number of pages	10
Volume	126
DOIs	https://doi.org/10.1016/j.procs.2018.08.004
Publication status	Published - 3 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 BV
ISSN (Print)	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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ArticleFinal published version, 644 KBLicence: CC BY-NC-ND

https://linkinghub.elsevier.com/retrieve/pii/S1877050918312821

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). Elsevier. https://doi.org/10.1016/j.procs.2018.08.004

NGUYEN, Dang ; TRAN, Dat ; SHARMA, Dharmendra et al. / 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).

@inproceedings{13c44c502b4444c9a8fd7d9fddbb1579,

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",

year = "2018",

month = sep,

day = "3",

doi = "10.1016/j.procs.2018.08.004",

language = "English",

volume = "126",

series = "Procedia Computer Science",

publisher = "Elsevier",

pages = "703--712",

editor = "Howlett, {Robert J.} and Jain, {Lakhmi C.} and Zoran Popovic and Dejan Popovic and Slobodan Vukosavic and Carlos Toro and Yulia Hicks",

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

address = "Netherlands",

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/",

}

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 et al.
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 Book › Conference contribution › peer-review

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.

KW - Knowledge discovery

KW - Electroencephalogram

KW - Cryptographic key

KW - Emotion

KW - valence

KW - Arousal

KW - NIST test suite

KW - emotion

KW - NIST

KW - cryptographic key

KW - arousal

UR - http://www.scopus.com/inward/record.url?scp=85056665807&partnerID=8YFLogxK

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

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. 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). doi: 10.1016/j.procs.2018.08.004

Emotional Influences on Cryptographic Key Generation Systems using EEG signals

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