Evidence map›Paper›PMID 42206284›Full record

ArticleInformation systems frontiers : a journal of research and innovation2026

Enhancing Cybersecurity Investment with FAIR-ROSI: A Responsible Cybersecurity Approach to Digital Society.

Ying He, Tong Xin, Cunjin Luo

Abstract read
In one paragraph

Article in Information systems frontiers : a journal of research and innovation, 2026. 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

3 authors.

Ying HeSchool of Electronic Engineering and Computer Science, Queen Mary University of London, 327 Mile End Rd Bethnal Green, London, E1 4NS UK.ORCID 0000-0003-2023-5547
Tong XinSchool of Electronic Engineering and Computer Science, Queen Mary University of London, 327 Mile End Rd Bethnal Green, London, E1 4NS UK.ORCID 0000-0002-9016-9680
Cunjin LuoSchool of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester, CO4 3SQ UK.ORCID 0000-0003-3946-1093

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investment in cybersecurity is critical to protect information system security, preserve organizational interests, and fulfil social responsibilities. However, due to the lack of a transparent process, investors often struggle to assess the effectiveness of their investments. Traditional return on security investment (ROSI) can be considered as an economic indicator which reflects investment efficiency, but it often emphasizes investment costs and anticipated returns while overlooks cybersecurity related metrics. This paper proposes the FAIR-ROSI model that integrates five qualitative and quantitative cybersecurity metrics with the Factor Analysis of Information Risk (FAIR) model. It combines practical qualitative and quantitative indicators to enhance the granularity of the traditional ROSI model. We then use a case study to evaluate the FAIR-ROSI model. The results from pre and post control measures shows a narrow margin between actual and projected loss values and a significantly higher ROI compared to the total security expenditure.

Indexed as

Cybersecurity Qualitative MetricsCybersecurity Quantitative MetricsFactor Analysis of Information Risk (FAIR)FAIR-ROSI ModelReturn on Security Investment (ROSI)Risk Assessment

Identifiers

PMID42206284
PMCPMC13201335

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.