Behavioral Threat Detection

Behavioral Threat Detection is a method within the domain of mobile endpoint protection that identifies malicious activities by analyzing deviations from established patterns of user or system behavior, distinguishing itself from signature-based approaches through its reliance on dynamic behavioral analytics to detect previously unknown or zero-day threats.

55

Publications

2.5K

Citations

202

Authors

98

Institutions

Publications per year

2017–2026

24

Authors

202

  1. FL
    Fudong Li

    Edith Cowan University, Australia

    2 publications · 80 citations

    2

    h-index

  2. MP
    Maria Papadaki

    University of Plymouth, United Kingdom

    2 publications · 80 citations

    2

    h-index

  3. MZ
    Mengran Zhu

    Miami University, United States

    2 publications · 25 citations

    2

    h-index

  4. EV
    Essi Viding

    University College London, United Kingdom

    2 publications · 32 citations

    2

    h-index

  5. YG
    Yao Guo

    Peking University, China

    2 publications · 46 citations

    2

    h-index

1–5 of 202

Venues

  1. Cognition & Emotion

    2 publications · 58 citations

    2

    h-index

  2. Emotion

    2 publications · 88 citations

    2

    h-index

  3. 2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 22 citations

    1

    h-index

  5. Frontiers in Human Neuroscience

    1 publications · 20 citations

    1

    h-index

1–5