Homograph Attack Detection

Homograph Attack Detection is a cybersecurity method designed to identify deceptive web domains that exploit visual similarities among characters from different scripts to mimic legitimate URLs, thereby distinguishing phishing attempts from authentic sites through script and character anomaly analysis.

6

Publications

341

Citations

22

Authors

11

Institutions

Publications per year

2017–2026

3

Authors

22

  1. AY
    Anthony Y. Fu

    City University of Hong Kong, Hong Kong SAR China

    1 publications · 13 citations

    1

    h-index

  2. YY
    Yoshiro Yoneya

    Waseda University, Japan

    1 publications · 33 citations

    1

    h-index

  3. SS
    Sriram Srinivasan

    Amrita Vishwa Vidyapeetham, India

    1 publications · 86 citations

    1

    h-index

  4. DE
    David E. Watson

    Heriot-Watt University, United Kingdom

    1 publications · 61 citations

    1

    h-index

  5. WR
    William Robertson

    Dalhousie University, Canada

    1 publications · 38 citations

    1

    h-index

1–5 of 22

Venues

  1. Communications of the ACM

    1 publications · 110 citations

    1

    h-index

  2. Journal of Digital Forensic Practice

    1 publications · 13 citations

    1

    h-index

  3. IEEE Transactions on Engineering Management

    1 publications · 86 citations

    1

    h-index

  4. Security and Privacy

    1 publications · 10 citations

  5. Journal of Information Processing

    JIP · 1 publications · 17 citations

1–5