Unsupervised Bot Detection

Unsupervised Bot Detection is a methodological approach within computational cybersecurity that identifies automated agents in digital systems through pattern recognition and behavioral clustering without relying on pre-labeled training data.

17

Publications

773

Citations

57

Authors

26

Institutions

Publications per year

2017–2026

15

Authors

57

  1. JT
    Jianrong Tao

    NetEase (China), China

    2 publications · 54 citations

    2

    h-index

  2. ZZ
    Zhou Zhao

    Zhejiang University, China

    2 publications · 54 citations

    2

    h-index

  3. NC
    Nikan Chavoshi

    University of New Mexico, United States

    2 publications · 80 citations

    2

    h-index

  4. AM
    Abdullah Mueen

    University of New Mexico, United States

    2 publications · 80 citations

    2

    h-index

  5. JX
    Jiarong Xu

    Zhejiang University, China

    2 publications · 54 citations

    2

    h-index

1–5 of 57

Venues

  1. Journal of Network and Computer Applications

    JNCA · 1 publications · 42 citations

    1

    h-index

  2. 1

    h-index

  3. Social Network Analysis and Mining

    1 publications · 104 citations

    1

    h-index

  4. ACM Transactions on Knowledge Discovery from Data

    TKDD · 1 publications · 22 citations

    1

    h-index

  5. IEEE Transactions on Industrial Informatics

    1 publications · 54 citations

    1

    h-index

1–5