Random Linear Codes

Random Linear Codes is a type of linear error-correcting code in coding theory characterized by a generator matrix whose entries are selected independently and uniformly at random, distinguishing it from structured linear codes by its stochastic construction intended to enhance cryptographic security.

320

Publications

19.4K

Citations

645

Authors

302

Institutions

Publications per year

2017–2026

69

Authors

645

  1. MM
    Muriel Médard

    Massachusetts Institute of Technology, United States

    31 publications · 4.3K citations

    21

    h-index

  2. DE
    Daniel E. Lucani

    Aalborg University, Denmark

    26 publications · 998 citations

    20

    h-index

  3. FH
    Frank H. P. Fitzek

    Technische Universität Dresden, Germany

    24 publications · 720 citations

    16

    h-index

  4. SY
    Shenghao Yang

    Chinese University of Hong Kong, Hong Kong SAR China

    12 publications · 392 citations

    12

    h-index

  5. MV
    Morten V. Pedersen

    Aalborg University, Denmark

    10 publications · 387 citations

    10

    h-index

1–5 of 645

Venues

  1. IEEE Transactions on Information Theory

    27 publications · 4.5K citations

    21

    h-index

  2. IEEE Communications Letters

    17 publications · 545 citations

    14

    h-index

  3. IEEE Transactions on Communications

    11 publications · 356 citations

    10

    h-index

  4. IEEE Access

    8 publications · 219 citations

    8

    h-index

  5. arXiv (Cornell University)

    Repository · 6 publications · 72 citations

    6

    h-index

1–5