Email Malware Detection

Email Malware Detection is a computational method designed to identify malicious software embedded within email messages by analyzing content, behavior, and transmission patterns to distinguish harmful payloads from legitimate communications.

59

Publications

3K

Citations

197

Authors

67

Institutions

Publications per year

2017–2026

27

Authors

197

  1. NN
    Nir Nissim

    Ben-Gurion University of the Negev, Israel

    5 publications · 231 citations

    5

    h-index

  2. AC
    Aviad Cohen

    Ben-Gurion University of the Negev, Israel

    4 publications · 190 citations

    4

    h-index

  3. YE
    Yuval Elovici

    Ben-Gurion University of the Negev, Israel

    4 publications · 190 citations

    4

    h-index

  4. SJ
    Salvatore J. Stolfo

    Columbia University, United States

    3 publications · 173 citations

    3

    h-index

  5. YF
    Yong Fang

    Sichuan University, China

    2 publications · 29 citations

    2

    h-index

1–5 of 197

Venues

  1. Journal of Information Processing

    JIP · 2 publications · 42 citations

    2

    h-index

  2. IEEE Access

    2 publications · 79 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 32 citations

    2

    h-index

  4. Artificial Intelligence Review

    1 publications · 25 citations

    1

    h-index

  5. ANU Open Research (Australian National University)

    Repository · 1 publications · 40 citations

    1

    h-index

1–5