CyberGenomics: Application of Behavioral Genetics in Cybersecurity

Cybersecurity (CS) is a contemporary field for research and applied study of a range of aspects from across multiple disciplines. A cybersecurity expert has an in-depth knowledge of technology but is often also recognized for the ability to view technology in a non-standard way. This paper explores...

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Autores principales:	Ingrida Domarkienė, Laima Ambrozaitytė, Linas Bukauskas, Tautvydas Rančelis, Stefan Sütterlin, Benjamin James Knox, Kaie Maennel, Olaf Maennel, Karen Parish, Ricardo Gregorio Lugo, Agnė Brilingaitė
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	cybersecurity risk assessment genetic architecture behavior genetics complex traits genome-wide association study (GWAS) Psychology BF1-990
Acceso en línea:	https://doaj.org/article/e0124580364c4bff935961a605f9ea7e
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spelling	oai:doaj.org-article:e0124580364c4bff935961a605f9ea7e2021-11-25T16:46:11ZCyberGenomics: Application of Behavioral Genetics in Cybersecurity10.3390/bs111101522076-328Xhttps://doaj.org/article/e0124580364c4bff935961a605f9ea7e2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-328X/11/11/152https://doaj.org/toc/2076-328XCybersecurity (CS) is a contemporary field for research and applied study of a range of aspects from across multiple disciplines. A cybersecurity expert has an in-depth knowledge of technology but is often also recognized for the ability to view technology in a non-standard way. This paper explores how CS specialists are both a combination of professional computing-based skills and genetically encoded traits. Almost every human behavioral trait is a result of many genome variants in action altogether with environmental factors. The review focuses on contextualizing the behavior genetics aspects in the application of cybersecurity. It reconsiders methods that help to identify aspects of human behavior from the genetic information. And stress is an illustrative factor to start the discussion within the community on what methodology should be used in an ethical way to approach those questions. CS positions are considered stressful due to the complexity of the domain and the social impact it can have in cases of failure. An individual risk profile could be created combining known genome variants linked to a trait of particular behavior using a special biostatistical approach such as a polygenic score. These revised advancements bring challenging possibilities in the applications of human behavior genetics and CS.Ingrida DomarkienėLaima AmbrozaitytėLinas BukauskasTautvydas RančelisStefan SütterlinBenjamin James KnoxKaie MaennelOlaf MaennelKaren ParishRicardo Gregorio LugoAgnė BrilingaitėMDPI AGarticlecybersecurityrisk assessmentgenetic architecturebehavior geneticscomplex traitsgenome-wide association study (GWAS)PsychologyBF1-990ENBehavioral Sciences, Vol 11, Iss 152, p 152 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cybersecurity risk assessment genetic architecture behavior genetics complex traits genome-wide association study (GWAS) Psychology BF1-990
spellingShingle	cybersecurity risk assessment genetic architecture behavior genetics complex traits genome-wide association study (GWAS) Psychology BF1-990 Ingrida Domarkienė Laima Ambrozaitytė Linas Bukauskas Tautvydas Rančelis Stefan Sütterlin Benjamin James Knox Kaie Maennel Olaf Maennel Karen Parish Ricardo Gregorio Lugo Agnė Brilingaitė CyberGenomics: Application of Behavioral Genetics in Cybersecurity
description	Cybersecurity (CS) is a contemporary field for research and applied study of a range of aspects from across multiple disciplines. A cybersecurity expert has an in-depth knowledge of technology but is often also recognized for the ability to view technology in a non-standard way. This paper explores how CS specialists are both a combination of professional computing-based skills and genetically encoded traits. Almost every human behavioral trait is a result of many genome variants in action altogether with environmental factors. The review focuses on contextualizing the behavior genetics aspects in the application of cybersecurity. It reconsiders methods that help to identify aspects of human behavior from the genetic information. And stress is an illustrative factor to start the discussion within the community on what methodology should be used in an ethical way to approach those questions. CS positions are considered stressful due to the complexity of the domain and the social impact it can have in cases of failure. An individual risk profile could be created combining known genome variants linked to a trait of particular behavior using a special biostatistical approach such as a polygenic score. These revised advancements bring challenging possibilities in the applications of human behavior genetics and CS.
format	article
author	Ingrida Domarkienė Laima Ambrozaitytė Linas Bukauskas Tautvydas Rančelis Stefan Sütterlin Benjamin James Knox Kaie Maennel Olaf Maennel Karen Parish Ricardo Gregorio Lugo Agnė Brilingaitė
author_facet	Ingrida Domarkienė Laima Ambrozaitytė Linas Bukauskas Tautvydas Rančelis Stefan Sütterlin Benjamin James Knox Kaie Maennel Olaf Maennel Karen Parish Ricardo Gregorio Lugo Agnė Brilingaitė
author_sort	Ingrida Domarkienė
title	CyberGenomics: Application of Behavioral Genetics in Cybersecurity
title_short	CyberGenomics: Application of Behavioral Genetics in Cybersecurity
title_full	CyberGenomics: Application of Behavioral Genetics in Cybersecurity
title_fullStr	CyberGenomics: Application of Behavioral Genetics in Cybersecurity
title_full_unstemmed	CyberGenomics: Application of Behavioral Genetics in Cybersecurity
title_sort	cybergenomics: application of behavioral genetics in cybersecurity
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e0124580364c4bff935961a605f9ea7e
work_keys_str_mv	AT ingridadomarkiene cybergenomicsapplicationofbehavioralgeneticsincybersecurity AT laimaambrozaityte cybergenomicsapplicationofbehavioralgeneticsincybersecurity AT linasbukauskas cybergenomicsapplicationofbehavioralgeneticsincybersecurity AT tautvydasrancelis cybergenomicsapplicationofbehavioralgeneticsincybersecurity AT stefansutterlin cybergenomicsapplicationofbehavioralgeneticsincybersecurity AT benjaminjamesknox cybergenomicsapplicationofbehavioralgeneticsincybersecurity AT kaiemaennel cybergenomicsapplicationofbehavioralgeneticsincybersecurity AT olafmaennel cybergenomicsapplicationofbehavioralgeneticsincybersecurity AT karenparish cybergenomicsapplicationofbehavioralgeneticsincybersecurity AT ricardogregoriolugo cybergenomicsapplicationofbehavioralgeneticsincybersecurity AT agnebrilingaite cybergenomicsapplicationofbehavioralgeneticsincybersecurity
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CyberGenomics: Application of Behavioral Genetics in Cybersecurity

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