Fraud Detection Audit
A Fraud Detection Audit is a systematic examination process, belonging to the genus of security audit methodologies, specifically designed to identify, analyze, and report anomalous activities or patterns indicative of intentional deception or unauthorized actions within digital systems, thereby differentiating it from general vulnerability or compliance audits by its focused intent on uncovering fraudulent behavior.
119
Publications
5.3K
Citations
258
Authors
143
Institutions
Publications per year
2017–2026
47
Parents
119
Detecting deception: adversarial problem solving in a low base‐rate world
Paul Johnson, Stefano Grazioli, Karim Jamal et al. · Cognitive Science · 2001 · 176 citations
Business, Accountancy, Accounting +13
1–5 of 119
258
3
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3
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2
h-index
2 publications · 36 citations
2
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2
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1–5 of 258
143
Auburn University
Auburn, United States
3 h-index
2 publications
42 citations
Universitas Patria Artha
Makassar, Indonesia
2 h-index
3 publications
65 citations
Bentley University
Waltham, United States
2 h-index
4 publications
200 citations
University of the West Indies
Bridgetown, Barbados
2 h-index
7 publications
413 citations

Universiti Teknologi MARA
Shah Alam, Malaysia
2 h-index
6 publications
556 citations
The University of Texas at Austin
Austin, United States
2 h-index
2 publications
208 citations
Brigham Young University
Provo, United States
2 h-index
5 publications
84 citations
University of Sharjah
Sharjah, United Arab Emirates
2 h-index
3 publications
312 citations
1–8 of 143
MAJ · 11 publications · 694 citations
11
h-index
Repository · 6 publications · 155 citations
6
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JofA · 5 publications · 140 citations
5
h-index
IJA · 4 publications · 129 citations
4
h-index
AJPT · 4 publications · 814 citations
4
h-index
1–5