Log Analysis Automation

Log Analysis Automation is a method within the domain of audit logging that systematically employs algorithmic and computational techniques to identify, categorize, and interpret log data with minimal human intervention, distinguishing itself from manual or ad hoc analysis approaches by enabling scalable, repeatable, and real-time monitoring of system activities.

29

Publications

1.4K

Citations

105

Authors

45

Institutions

Publications per year

2017–2026

16

Authors

105

  1. SH
    Shilin He

    Chinese University of Hong Kong, Hong Kong SAR China

    5 publications · 652 citations

    5

    h-index

  2. NL
    Nikolay Laptev

    Yahoo (United States), United States

    3 publications · 54 citations

    3

    h-index

  3. SL
    Seunghak Lee

    Carnegie Mellon University, United States

    3 publications · 54 citations

    3

    h-index

  4. SS
    Sriram Sankar

    Meta (United States), United States

    3 publications · 54 citations

    3

    h-index

  5. MR
    Michael R. Lyu

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 565 citations

    3

    h-index

1–5 of 105

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 51 citations

    2

    h-index

  2. Expert Systems with Applications

    1 publications · 37 citations

    1

    h-index

  3. IEEE Transactions on Network and Service Management

    TNSM · 1 publications · 22 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5