Sequence Number Prediction

Sequence Number Prediction is a network attack methodology in which an adversary exploits predictable transmission control protocol (TCP) sequence number generation to infer future sequence values and illicitly establish or hijack communication sessions.

6

Publications

221

Citations

24

Authors

6

Institutions

Publications per year

2017–2026

3

Authors

24

  1. MG
    Mrinmoy Ghosh

    Jeju National University, South Korea

    2 publications · 129 citations

    2

    h-index

  2. WS
    Weidong Shi

    University of Houston, United States

    2 publications · 129 citations

    2

    h-index

  3. AB
    Alexandra Boldyreva

    Georgia Institute of Technology, United States

    2 publications · 129 citations

    2

    h-index

  4. CL
    Chenghuai Lu

    Georgia Institute of Technology, United States

    2 publications · 129 citations

    2

    h-index

  5. AP
    Ankit Patel

    Harvard University Press, United States

    1 publications · 15 citations

    1

    h-index

1–5 of 24

Venues

  1. Security and Communication Networks

    1 publications · 15 citations

    1

    h-index

  2. ACM SIGARCH Computer Architecture News

    1 publications · 94 citations

    1

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 30 citations

    1

    h-index

1–3