Social Engineering Analysis

Social Engineering Analysis is a methodological framework within phishing intelligence that systematically examines manipulation tactics used to exploit human cognitive biases and trust mechanisms in order to identify, categorize, and mitigate deceptive social engineering attacks.

76

Publications

3.1K

Citations

175

Authors

88

Institutions

Publications per year

2017–2026

36

Authors

175

  1. AA
    Abdullah Algarni

    Queensland University of Technology, Australia

    3 publications · 65 citations

    3

    h-index

  2. GS
    Geoff Skinner

    University of Newcastle Australia, Australia

    2 publications · 49 citations

    2

    h-index

  3. IG
    Ian G. Harris

    University of California, Irvine, United States

    2 publications · 59 citations

    2

    h-index

  4. ZW
    Zuoguang Wang

    University of Chinese Academy of Sciences, China

    2 publications · 205 citations

    2

    h-index

  5. HA
    Hussain Aldawood

    University of Newcastle Australia, Australia

    2 publications · 49 citations

    2

    h-index

1–5 of 175

Venues

  1. IEEE Access

    6 publications · 392 citations

    6

    h-index

  2. EDPACS

    2 publications · 96 citations

    2

    h-index

  3. HAISA

    2 publications · 39 citations

    2

    h-index

  4. Computers & Security

    2 publications · 95 citations

    2

    h-index

  5. Information Management & Computer Security

    IMCS · 1 publications · 70 citations

    1

    h-index

1–5