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Data · dataset · 2026

AI-based Identity Fraud Detection: A Systematic Review

Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.6084/m9.figshare.34041549.v1

<p>With the rapid development of digital services, personally identifiable information (PII) is increasingly exposed to identity fraud (IDF).

Description

The growing use of artificial intelligence (AI)-enabled deepfake technologies has further amplified this threat, enabling fraudsters to produce highly sophisticated counterfeit documents, photos, and videos. There is a pressing need to systematically review IDF detection methods, their limitations, and potential solutions.

This paper presents a systematic literature review examining AI-based IDF detection and prevention methods. The review identifies two principal categories of detection approaches, consolidates findings into a taxonomy of AI-based IDF methods, and highlights key insights, open challenges, and emerging trends. This work provides a foundational knowledge base for researchers and practitioners advancing this critical area.</p>

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Where it is published

Catalogue records · 1

Topics

Provenance · 3 source records, 29 field assertions
SourceKeyLast seenRaw
ZivaHuboai:figshare.com:article/3404154910 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/3404154910 d agoJSON v1
DMU Figshareoai:figshare.com:article/3404154910 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:group:3103mapping · dro deakin edu auvocabulary-mapper@1.0.0keywords['Ecology']
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concepts[field].anzsrc:group:4410mapping · dro deakin edu auvocabulary-mapper@1.0.0keywords['Sociology']
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concepts[field].local:field:earth-environmentalmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:life-sciencesmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
concepts[field].local:field:life-sciencesmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:life-sciencesmapping · figshare dmu ac ukconnector:figshare_dmu_ac_uk@1.0.0
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