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

Authors

107

  1. FM
    Francois Mouton

    University of Pretoria, South Africa

    6 publications · 192 citations

    6

    h-index

  2. HS
    Hein S. Venter

    University of Pretoria, South Africa

    4 publications · 145 citations

    4

    h-index

  3. NP
    Nikolaos Polatidis

    University of Brighton, United Kingdom

    3 publications · 64 citations

    3

    h-index

  4. RH
    Ryan Heartfield

    University of Greenwich, United Kingdom

    3 publications · 186 citations

    3

    h-index

  5. ML
    Merton Lansley

    University of Brighton, United Kingdom

    3 publications · 64 citations

    3

    h-index

1–5 of 107

Venues

  1. Computers & Security

    3 publications · 311 citations

    3

    h-index

  2. Applied Sciences

    2 publications · 117 citations

    2

    h-index

  3. EDPACS

    2 publications · 96 citations

    2

    h-index

  4. HAISA

    2 publications · 39 citations

    2

    h-index

  5. IEEE Access

    2 publications · 95 citations

    2

    h-index

1–5