Rule-based Detection

Rule-Based Detection is an intrusion detection method that identifies malicious activities by matching observed system or network behaviors against a set of predefined rules encoding known attack patterns.

413

Publications

21.1K

Citations

1.3K

Authors

520

Institutions

Publications per year

2017–2026

147

Authors

1.3K

  1. NN
    Nitin Naik

    Ministry of Defence, United Kingdom

    8 publications · 254 citations

    8

    h-index

  2. PJ
    Paul Jenkins

    Ministry of Defence, United Kingdom

    6 publications · 118 citations

    6

    h-index

  3. QS
    Qiang Shen

    Aberystwyth University, United Kingdom

    5 publications · 186 citations

    5

    h-index

  4. AK
    A. Kannan

    Anna University, Chennai, India

    5 publications · 331 citations

    5

    h-index

  5. SM
    Shingo Mabu

    Waseda University, Japan

    4 publications · 257 citations

    4

    h-index

1–5 of 1.3K

Venues

  1. IEEE Access

    6 publications · 231 citations

    6

    h-index

  2. Procedia Computer Science

    5 publications · 238 citations

    5

    h-index

  3. Sensors

    5 publications · 362 citations

    5

    h-index

  4. Security and Communication Networks

    4 publications · 136 citations

    4

    h-index

  5. International Journal of Computer Applications

    4 publications · 100 citations

    4

    h-index

1–5