Social Engineering Detection
Social Engineering Detection is a cybersecurity analysis method that identifies manipulative tactics in digital communications by distinguishing malicious intent from legitimate interactions through behavioral and linguistic pattern recognition.
53
Publications
3K
Citations
107
Authors
47
Institutions
Publications per year
2017–2026
32
Parents
53
Advanced social engineering attacks
Katharina Krombholz, Heidelinde Hobel, Markus Huber et al. · Journal of Information Security and Applications · 2014 · 558 citations
Social Engineering Attacks: A Survey
Fatima Salahdine, Naima Kaabouch · Future Internet · 2019 · 489 citations · Full text
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47

University of Greenwich
London, United Kingdom
4 h-index
9 publications
480 citations
University of Brighton
Brighton, United Kingdom
3 h-index
6 publications
107 citations

Council for Scientific and Industrial Research
Pretoria, South Africa
3 h-index
6 publications
136 citations

University of Pretoria
Pretoria, South Africa
3 h-index
6 publications
329 citations

University of Macedonia
Thessaloniki, Greece
3 h-index
8 publications
178 citations
University of California, Irvine
Irvine, United States
3 h-index
9 publications
304 citations

Queensland University of Technology
Brisbane, Australia
2 h-index
3 publications
163 citations
University of Sussex
Brighton, United Kingdom
2 h-index
2 publications
50 citations
1–8 of 47
3 publications · 311 citations
3
h-index
2 publications · 117 citations
2
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2 publications · 96 citations
2
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2 publications · 39 citations
2
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2 publications · 95 citations
2
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