Interview based connectivity analysis of EEG in order to detect deception

Kohan, Marzieh Daneshi; Nasrabadi, Ali Motie; Sharifi, Ali; Shamsollahi, Mohammad Bagher

doi:10.1016/j.mehy.2019.109517

Cited by 15 publications

(10 citation statements)

References 19 publications

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“…Hence, providing a convincing false account is more demanding than completing legitimate activity and then providing a truthful account. This disparity offers opportunities for detection (e.g., K. Colwell et al, 2007;Kohan et al, 2020;Vrij et al, 2017).…”

Section: Masking Malicious Behaviourmentioning

confidence: 99%

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Sorting Insiders From Co-Workers: Remote Synchronous Computer-Mediated Triage for Investigating Insider Attacks

et al. 2022

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Objective Develop and investigate the potential of a remote, computer-mediated and synchronous text-based triage, which we refer to as InSort, for quickly highlighting persons of interest after an insider attack. Background Insiders maliciously exploit legitimate access to impair the confidentiality and integrity of organizations. The globalisation of organisations and advancement of information technology means employees are often dispersed across national and international sites, working around the clock, often remotely. Hence, investigating insider attacks is challenging. However, the cognitive demands associated with masking insider activity offer opportunities. Drawing on cognitive approaches to deception and understanding of deception-conveying features in textual responses, we developed InSort, a remote computer-mediated triage. Method During a 6-hour immersive simulation, participants worked in teams, examining password protected, security sensitive databases and exchanging information during an organized crime investigation. Twenty-five percent were covertly incentivized to act as an ‘insider’ by providing information to a provocateur. Results Responses to InSort questioning revealed insiders took longer to answer investigation relevant questions, provided impoverished responses, and their answers were less consistent with known evidence about their behaviours than co-workers. Conclusion Findings demonstrate InSort has potential to expedite information gathering and investigative processes following an insider attack. Application InSort is appropriate for application by non-specialist investigators and can be quickly altered as a function of both environment and event. InSort offers a clearly defined, well specified, approach for use across insider incidents, and highlights the potential of technology for supporting complex time critical investigations.

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Section: Masking Malicious Behaviourmentioning

confidence: 99%

“…This disparity offers opportunities for detection (e.g., K. Colwell et al, 2007; Kohan et al, 2020; Vrij et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Sorting Insiders From Co-Workers: Remote Synchronous Computer-Mediated Triage for Investigating Insider Attacks

et al. 2022

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“…The 19 channels and two channels A1 and A2 as references are illustrated in figure 3. In this figure, in addition to showing the electrodes, the brain regions have also been classified according to [31]. The sampling frequency was 256 Hz.…”

Section: Recording Eeg Signalsmentioning

confidence: 99%

EEG signal analysis during Ishihara’s test in subjects with normal vision and color vision deficiency

Ekhlasi¹,

Ahmadi²,

Molavi³

et al. 2021

Biomed. Phys. Eng. Express

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Color Vision Deficiency (CVD) is one of the most common types of vision deficiency. People with CVD have difficulty seeing color spectra depending on what types of retina photoreceptors are impaired. In this paper, the Ishihara test with 38 plates was used to examine the Electroencephalogram (EEG) of ten subjects with CVD plus ten healthy individuals. The recording was performed according to the 10–20 international system. The C-based software was programmed so that subjects could select the number or path in each test plate in the software options while recording EEG. Frequency features in different frequency bands were extracted from the EEG signals of the two groups during the Ishihara test. Statistically significant differences (P < 0.05) between features were assessed by independent samples t-test with False Discovery Rate (FDR) correction. Also, the K-nearest neighbor classifier (KNN) was used to classify the two groups. The results revealed that the most significant difference between the two groups in the Ishihara test images occurred for the electrodes located in the right temporoparietal areas (P4 and T6) of the brain in the Delta, Theta, Beta1, and Beta2 frequency bands. The KNN classifier, using the signals that reported the greatest statistical difference between the two groups, showed that the two groups were distinguishable with 85.2% accuracy. In this way, images from the Ishihara test that would provide the most accurate classification were identified. In conclusion, this research provided new insights into EEG signals of subjects with CVD and healthy subjects based on the Ishihara color vision test.

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“…Los resultados experimentales del extractor de características propuesto LF-DfE con la red BiLSTM han mejorado con respecto a los métodos existentes. Así también [3] en su investigación sobre la clasificación demuestran que la mentira se puede diferenciar de decir la verdad con una precisión del 86,25% con el método de dejar fuera a una persona, a partir de la evaluación del EEG. [4] ha encontrado evidencia adicional en apoyo de un papel funcional de la actividad alfa durante el desarrollo temporal del proceso DT, destacando el papel clave del aumento de poder alfa sobre la corteza frontal, central, temporal y parietal para la producción de respuestas alternativas originales en AUT.…”

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Caracterización de los residuos sólidos en la UNTELS

et al. 2022

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El Ministerio del Ambiente (MINAM) promueve que las universidades incorporen procesos de gestión ambiental y contribuyan a la solución de la problemática ambiental en el Perú debido a la amplitud de sus funciones de formación profesional, investigación, extensión y gestión, en ese contexto y como parte de la investigación titulada “Implementación de un plan de gestión de residuos sólidos en la UNTELS” nos proponemos caracterizar los residuos sólidos en la UNTELS. Para la recolección de datos se ha utilizado las técnicas de observación y trabajo de campo. Se obtuvieron como resultados globales en la generación per cápita (GPC) de 0.02 Kg y en la generación total 58.22 Kg/día, equivalente a 15.14 ton/año. Se encontró que los desechos sólidos (52%) ocupan un primer lugar, seguido de materia orgánica (16%), la generación de desechos sólidos oscila entre 20.71 y 39.57 Kg/día, la generación de residuos electrónicos no es significativa y que el plástico PET constituye el mayor tipo de residuo reaprovechable, seguido por el papel.

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Interview based connectivity analysis of EEG in order to detect deception

Cited by 15 publications

References 19 publications

Sorting Insiders From Co-Workers: Remote Synchronous Computer-Mediated Triage for Investigating Insider Attacks

Sorting Insiders From Co-Workers: Remote Synchronous Computer-Mediated Triage for Investigating Insider Attacks

EEG signal analysis during Ishihara’s test in subjects with normal vision and color vision deficiency

Caracterización de los residuos sólidos en la UNTELS

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