Network Intrusion Detection

Network Intrusion Detection is a technical framework that systematically monitors network traffic and analyzes communication patterns to identify unauthorized or malicious activities indicative of security breaches within interconnected systems.

6K

Publications

350.9K

Citations

13.3K

Authors

3K

Institutions

Publications per year

2017–2026

2.9K

Authors

13.3K

  1. VP
    Vern Paxson

    International Computer Science Institute, United States

    24 publications · 7.2K citations

    23

    h-index

  2. WL
    Wenke Lee

    Georgia Institute of Technology, United States

    20 publications · 5.4K citations

    18

    h-index

  3. RS
    Robin Sommer

    International Computer Science Institute, United States

    19 publications · 3.2K citations

    17

    h-index

  4. GV
    Giovanni Vigna

    University of California, Santa Barbara, United States

    17 publications · 2.9K citations

    15

    h-index

  5. AA
    Ajith Abraham

    Machine Intelligence Research Labs, United States

    16 publications · 2.4K citations

    15

    h-index

1–5 of 13.3K

Venues

  1. IEEE Access

    191 publications · 18.9K citations

    73

    h-index

  2. Computers & Security

    127 publications · 14.2K citations

    62

    h-index

  3. Sensors

    57 publications · 3.4K citations

    35

    h-index

  4. Expert Systems with Applications

    41 publications · 6K citations

    32

    h-index

  5. Applied Sciences

    38 publications · 3.6K citations

    31

    h-index

1–5