Evidence map›Paper›PMID 34821613›Full record

ReviewBehavioral sciences (Basel, Switzerland)2021

CyberGenomics: Application of Behavioral Genetics in Cybersecurity.

Ingrida Domarkienė, Laima Ambrozaitytė, Linas Bukauskas, Tautvydas Rančelis, Stefan Sütterlin, Benjamin James Knox, Kaie Maennel, Olaf Maennel, Karen Parish, Ricardo Gregorio Lugo and 1 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Behavioral sciences (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ingrida DomarkienėDepartment of Human and Medical Genetics, Institute of Biomedical Sciences, Faculty of Medicine, Vilnius University, LT-08661 Vilnius, Lithuania.
Laima AmbrozaitytėDepartment of Human and Medical Genetics, Institute of Biomedical Sciences, Faculty of Medicine, Vilnius University, LT-08661 Vilnius, Lithuania.ORCID 0000-0001-5631-7005
Linas BukauskasCybersecurity Laboratory, Institute of Computer Science, Vilnius University, LT-08303 Vilnius, Lithuania.ORCID 0000-0002-9781-9690
Tautvydas RančelisDepartment of Human and Medical Genetics, Institute of Biomedical Sciences, Faculty of Medicine, Vilnius University, LT-08661 Vilnius, Lithuania.
Stefan SütterlinFaculty of Health, Welfare and Organisation, Østfold University College, NO-1757 Halden, Norway.
Benjamin James KnoxFaculty of Health, Welfare and Organisation, Østfold University College, NO-1757 Halden, Norway.
Kaie MaennelCentre for Digital Forensics and Cyber Security, Tallinn University of Technology, EE-19086 Tallinn, Estonia.
Olaf MaennelCentre for Digital Forensics and Cyber Security, Tallinn University of Technology, EE-19086 Tallinn, Estonia.ORCID 0000-0002-9621-0787
Karen ParishDepartment of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU), NO-2802 Gjøvik, Norway.
Ricardo Gregorio LugoFaculty of Health, Welfare and Organisation, Østfold University College, NO-1757 Halden, Norway.ORCID 0000-0003-2012-5700
Agnė BrilingaitėCybersecurity Laboratory, Institute of Computer Science, Vilnius University, LT-08303 Vilnius, Lithuania.ORCID 0000-0001-9768-4258

Funding

Grant from Iceland, Liechtenstein and Norway through the EEA Grants S-BMT-21-6 (LT08-2-LMT-K-01-051)
6 · The paper itself

Abstract

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.

Indexed as

behavior geneticscomplex traitscybersecuritygenetic architecturegenome-wide association study (GWAS)human behaviorhuman factorrisk assessmentstress genomics

Identifiers

PMID34821613
PMCPMC8614761

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.