Attack Traffic Classification

Attack Traffic Classification is a method in cybersecurity that distinguishes malicious network traffic associated with denial-of-service attacks from legitimate traffic by analyzing distinctive behavioral and statistical patterns in data flows.

537

Publications

36.7K

Citations

1.7K

Authors

684

Institutions

Publications per year

2017–2026

364

Authors

1.7K

  1. KK
    Krishan Kumar

    Panjab University, India

    10 publications · 410 citations

    10

    h-index

  2. SB
    Sunny Behal

    Panjab University, India

    6 publications · 398 citations

    6

    h-index

  3. AH
    Alefiya Hussain

    Purdue University West Lafayette, United States

    5 publications · 660 citations

    5

    h-index

  4. AH
    Arash Habibi Lashkari

    University of New Brunswick, Canada

    5 publications · 4.6K citations

    5

    h-index

  5. TM
    Taghi M. Khoshgoftaar

    Florida Atlantic University, United States

    5 publications · 121 citations

    5

    h-index

1–5 of 1.7K

Venues

  1. IEEE Access

    27 publications · 1.7K citations

    23

    h-index

  2. Security and Communication Networks

    9 publications · 427 citations

    9

    h-index

  3. Computer Networks

    8 publications · 1K citations

    8

    h-index

  4. Sensors

    8 publications · 423 citations

    8

    h-index

  5. Computers & Security

    9 publications · 391 citations

    8

    h-index

1–5