Design and Analysis of a True Random Number Generator Based on GSR Signals for Body Sensor Networks

Cámara, Carmen; Martín, Honorio; Peris-López, Pedro; Aldalaien, Muawya

doi:10.3390/s19092033

Cited by 17 publications

(11 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This variation is possible as the skin resistance depends on skin humidity (sweating), the thickness of the outer layer of the skin (epidermis), and vasoconstriction, among other things [ 34 ]. Sweating behavior is sensitive to emotional stimulation due to the sweat glands being controlled by the autonomic nervous system (ANS) [ 35 ], which controls the body’s other physiological responses such as heart rate, temperature, and pupil diameter. The physiological response of the ANS can increase in the presence of stress and multiple stimuli [ 36 ].…”

Section: Physiological Parameters and Sensorsmentioning

confidence: 99%

Correlation Analysis of Different Measurement Places of Galvanic Skin Response in Test Groups Facing Pleasant and Unpleasant Stimuli

Sanchez-Comas

Synnes

Molina-Estren

et al. 2021

Sensors

View full text Add to dashboard Cite

The galvanic skin response (GSR; also widely known as electrodermal activity (EDA)) is a signal for stress-related studies. Given the sparsity of studies related to the GSR and the variety of devices, this study was conducted at the Human Health Activity Laboratory (H2AL) with 17 healthy subjects to determine the variability in the detection of changes in the galvanic skin response among a test group with heterogeneous respondents facing pleasant and unpleasant stimuli, correlating the GSR biosignals measured from different body sites. We experimented with the right and left wrist, left fingers, the inner side of the right foot using Shimmer3GSR and Empatica E4 sensors. The results indicated the most promising homogeneous places for measuring the GSR, namely, the left fingers and right foot. The results also suggested that due to a significantly strong correlation among the inner side of the right foot and the left fingers, as well as the moderate correlations with the right and left wrists, the foot may be a suitable place to homogenously measure a GSR signal in a test group. We also discuss some possible causes of weak and negative correlations from anomalies detected in the raw data possibly related to the sensors or the test group, which may be considered to develop robust emotion detection systems based on GRS biosignals.

show abstract

Section: Physiological Parameters and Sensorsmentioning

confidence: 99%

Correlation Analysis of Different Measurement Places of Galvanic Skin Response in Test Groups Facing Pleasant and Unpleasant Stimuli

Sanchez-Comas

Synnes

Molina-Estren

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…To assess min-entropy, we apply the NIST SP 800-90B test suite [31,44]. It consists of ten entropy estimators and is widely used [5,25,49]. Figure 10 shows the estimated min-entropy for fingerprints of individual and fused sensors.…”

Section: Entropy Of Fingerprintsmentioning

confidence: 99%

FastZIP

Fomichev

Hesse

Almon

et al. 2021

Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services

View full text Add to dashboard Cite

With the advent of the Internet of Things (IoT), establishing a secure channel between smart devices becomes crucial. Recent research proposes zero-interaction pairing (ZIP), which enables pairing without user assistance by utilizing devices' physical context (e.g., ambient audio) to obtain a shared secret key. The state-of-the-art ZIP schemes suffer from three limitations: (1) prolonged pairing time (i.e., minutes or hours), (2) vulnerability to brute-force offline attacks on a shared key, and (3) susceptibility to attacks caused by predictable context (e.g., replay attack) because they rely on limited entropy of physical context to protect a shared key. We address these limitations, proposing FastZIP, a novel ZIP scheme that significantly reduces pairing time while preventing offline and predictable context attacks. In particular, we adapt a recently introduced Fuzzy Password-Authenticated Key Exchange (fPAKE) protocol and utilize sensor fusion, maximizing their advantages. We instantiate FastZIP for intra-car device pairing to demonstrate its feasibility and show how the design of FastZIP can be adapted to other ZIP use cases. We implement FastZIP and evaluate it by driving four cars for a total of 800 km. We achieve up to three times shorter pairing time compared to the state-of-the-art ZIP schemes while assuring robust security with adversarial error rates below 0.5%. CCS CONCEPTS• Security and privacy → Security services; • Computer systems organization → Embedded and cyber-physical systems.

show abstract

“…This variation is possible as the skin resistance depends on skin humidity (sweating), the thickness of the outer layer of the skin (epidermis), vasoconstriction, and others [41]. The sweating behavior is sensitive to emotional stimulation due to the sweat glands controlled by the Autonomic Nervous System (ANS) [42], which controls others' body physiological responses like heart rate, temperature, and pupil diameter. The physiological response of the ANS can increase in the presence of stress stimuli and several stimuli [24].…”

Section: Galvanik Skin Responsementioning

confidence: 99%

Correlation Analysis of Different Measurement Places of Galvanic Skin Response in Test Groups Facing Valence and Arousal Changes

Sanchez-Comas¹,

Synnes²,

Molina-Estren³

et al. 2020

Preprint

View full text Add to dashboard Cite

The Galvanic Skin Response (GSR, also widely known as electrodermal activity EDA) is one of the signals related to this emotional reaction. Given the sparsity of studies related to and the variety of devices, we experimented at the Human Health Activity Laboratory with 17 healthy subjects. The goal is to know the variability of detection changes in the electrodermal activity among a test group with heterogeneous respondents in response to valence and arousal stimuli, correlating GSR biosignals measured from different body sites. We experiment with the right and left wrist, left fingers, the right foot's inner side using Shimmer3GSR, and Empatica E4 sensors. Results indicate as the most promising homogeneous GSR measure place the left fingers and right foot. Results suggest that due to a significantly strong correlation among the inner side of the right foot and left fingers and moderate correlations with the right and left wrist, the foot is a good place to measure EDA. This paper also contributes knowledge about some wearable sensor technologies available in the market. Shimmer3GSR sensor may be better reliable to homogenous detecting electrodermal activity changes, as these have fewer anomalies among the respondents. However, we found some anomalies in signals from the Empatica E4 sensor, which we discuss in this work.

show abstract

Design and Analysis of a True Random Number Generator Based on GSR Signals for Body Sensor Networks

Cited by 17 publications

References 61 publications

Correlation Analysis of Different Measurement Places of Galvanic Skin Response in Test Groups Facing Pleasant and Unpleasant Stimuli

Correlation Analysis of Different Measurement Places of Galvanic Skin Response in Test Groups Facing Pleasant and Unpleasant Stimuli

FastZIP

Correlation Analysis of Different Measurement Places of Galvanic Skin Response in Test Groups Facing Valence and Arousal Changes

Contact Info

Product

Resources

About