Log-based Detection

Log-Based Detection is a method in incident detection that identifies security incidents by analyzing log data generated by systems, applications, and network devices to detect anomalous or malicious activities through pattern recognition and correlation of recorded events.

309

Publications

17K

Citations

1.1K

Authors

355

Institutions

Publications per year

2017–2026

153

Authors

1.1K

  1. QL
    Qingwei Lin

    Microsoft Research Asia (China), China

    5 publications · 1.5K citations

    5

    h-index

  2. MR
    Michael R. Lyu

    Chinese University of Hong Kong, Hong Kong SAR China

    5 publications · 916 citations

    5

    h-index

  3. HZ
    Hongyu Zhang

    University of Newcastle Australia, Australia

    4 publications · 1.3K citations

    4

    h-index

  4. JL
    Jian–Guang Lou

    Microsoft Research Asia (China), China

    4 publications · 1.6K citations

    4

    h-index

  5. DA
    David A. Patterson

    University of California, Berkeley, United States

    4 publications · 1.4K citations

    4

    h-index

1–5 of 1.1K

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 144 citations

    6

    h-index

  2. Security and Communication Networks

    5 publications · 83 citations

    5

    h-index

  3. 4

    h-index

  4. IEEE Transactions on Dependable and Secure Computing

    TDSC · 3 publications · 126 citations

    3

    h-index

  5. Computers & Security

    3 publications · 80 citations

    3

    h-index

1–5