Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

XAPT: Explainable Anomaly-Driven Prediction of Threat Stages in APT Campaigns

IEEE Access(2025)10.1109/access.2025.3636501Source: DataRank Database

XAPT: Explainable Anomaly-Driven Prediction of Threat Stages in APT Campaigns is a research paper published in IEEE Access (2025). On theSindex it has a DataRank of 0. It has been cited 2 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

Download PDF

Cite:

Linked data & code

doi

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: goldTopics (8)IDs (PubMed, PMC)Annotations (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (7)

Issa Traoré ORCID,Isaac Woungang ORCID,Eric Brown ORCID,Marcelo Luiz Brocardo ORCID,Qiaoyan Yu ORCID

Live enrichment

PubMed:41497322 PMC:PMC12768332

National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health

Grant: 1R15EB036778-01

An Explainable Artificial Intelligence Based Hybrid Intrusion Detection System for Enhancing Healthcare Security

NIBIB NIH HHS

Grant: R15 EB036778

goldLicense: CC BY

publisherhttp://xplorestaging.ieee.org/ielx8/6287639/10820123/11265744.pdf?arnumber=11265744

Europe_PMChttps://europepmc.org/articles/PMC12768332

Europe_PMChttps://europepmc.org/articles/PMC12768332?pdf=render

https://doi.org/10.1109/access.2025.3636501

https://pubmed.ncbi.nlm.nih.gov/41497322

Fields of Study

0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Bayesian networksAnomaly DetectionScore CalibrationExplainable AiAdvanced Persistent ThreatsArticle

XAPT: Explainable Anomaly-Driven Prediction of Threat Stages in APT Campaigns

FAIR Checklist

Authors (7)

Funding (2 grants)

Open Access

Topics

Annotations (Europe PMC)