Evidence map›Paper›PMID 35249401›Full record

ArticleHuman factors2024

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

Coral J Dando, Paul J Taylor, Tarek Menacere, Thomas C Ormerod, Linden J Ball, Alexandra L Sandham

Open access · hybridAbstract read
In one paragraph

Article in Human factors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Developing an 'Insider Language Index' as a composite measure to detect insider threat.Psychiatry, psychology, and law : an interdisciplinary journal of the Australian and New Zealand Association of Psychiatry, Psychology and Law · 2026
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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

6 authors at 5 institutions in 1 country.

Coral J DandoDepartment of Psychology, University of Westminster, London.ORCID 0000-0002-6196-8475
Paul J TaylorDepartment of Psychology, Lancaster University, Lancaster, UK.
Tarek MenacereDepartment of Psychology, Lancaster University, Lancaster, UK.
Thomas C OrmerodSchool of Psychology, University of Sussex, Falmer, UK.
Linden J BallSchool of Psychology, University of Central Lancashire, Preston, UK.ORCID 0000-0002-5099-0124
Alexandra L SandhamDepartment of Psychology, University of Gloucestershire, Cheltenham, UK.
Lancaster University · GBUniversity of Gloucestershire · GBUniversity of Lancashire · GBUniversity of Sussex · GBUniversity of Westminster · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDevelop and investigate the potential of a remote, computer-mediated and synchronous text-based triage, which we refer to as

backgroundInsiders 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.

methodDuring 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.

resultsResponses 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.

conclusionFindings 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.

Indexed as

Computer SecurityTriageAlgorithmsComputersComputer SimulationHumanscomputer-mediated triagedeceptioninsidersinvestigation

Identifiers

PMID35249401
PMCPMC10756022
OpenAlexW3216334198

What OpenQuestion holds

Textmetadata
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.