Session Anomaly Detection

Session Anomaly Detection is a security monitoring method that identifies deviations from established patterns of user session behavior by analyzing session-level interactions to detect potentially malicious activities indicative of session hijacking or unauthorized access.

30

Publications

1.1K

Citations

105

Authors

39

Institutions

Publications per year

2017–2026

9

Authors

105

  1. TK
    Tin Kam Ho

    Nokia (United States), United States

    2 publications · 34 citations

    2

    h-index

  2. MM
    Marco Mellia

    Politecnico di Torino, Italy

    2 publications · 53 citations

    2

    h-index

  3. GM
    G. Mardente

    Politecnico di Torino, Italy

    2 publications · 53 citations

    2

    h-index

  4. AM
    Anil Mehta

    Ninewells Hospital, United Kingdom

    2 publications · 34 citations

    2

    h-index

  5. VK
    Vijay K. Gurbani

    Carnegie Mellon University, United States

    2 publications · 34 citations

    2

    h-index

1–5 of 105

Venues

  1. Computers & Security

    2 publications · 214 citations

    2

    h-index

  2. Journal of Network and Computer Applications

    JNCA · 1 publications · 15 citations

    1

    h-index

  3. 2016 Twenty Second National Conference on Communication (NCC)

    Conference · 1 publications · 11 citations

    1

    h-index

  4. IEEE/ACM Transactions on Networking

    TON · 1 publications · 29 citations

    1

    h-index

  5. Information Processing & Management

    1 publications · 28 citations

    1

    h-index

1–5