Concepedia

Leakage Modeling

Leakage Modeling is a formal analytical framework within side-channel analysis that characterizes the statistical relationship between sensitive information and unintended physical emissions from a system, distinguishing itself by enabling the prediction and quantification of information leakage in hydraulic actuators through precise mathematical representation of exploitable signal patterns.

207

Publications

9.8K

Citations

629

Authors

288

Institutions

Publications per year

2017–2026

80

Parents

Publications

207

Pressure-Driven Demand and Leakage Simulation for Water Distribution Networks

Orazio Giustolisi, Dragan Savić, Zoran Kapelan · Journal of Hydraulic Engineering · 2008 · 382 citations

, , +17

Support vector regression

Dirmanto Jap, Marc Stöttinger, Shivam Bhasin · 2015 · 344 citations

, , +15

A technical note on the inclusion of pressure dependent demand and leakage terms in water supply network models

George Germanopoulos · Civil Engineering Systems · 1985 · 299 citations

, , +17

Machine learning in side-channel analysis: a first study

Gabriel Hospodar, Benedikt Gierlichs, Elke De Mulder et al. · Journal of Cryptographic Engineering · 2011 · 298 citations · Full text

, , +13

Deep learning for side-channel analysis and introduction to ASCAD database

Ryad Benadjila, Emmanuel Prouff, Rémi Strullu et al. · Journal of Cryptographic Engineering · 2019 · 292 citations

, , +11

1–5 of 207

Authors

629

  1. VZ
    Van Zyl

    University of Cape Town, South Africa

    5 publications · 229 citations

    5

    h-index

  2. SG
    Sylvain Guilley

    Télécom Paris, France

    4 publications · 88 citations

    4

    h-index

  3. EP
    Emmanuel Prouff

    Oberthur Technologies (France), France

    4 publications · 725 citations

    4

    h-index

  4. SM
    Silvia Meniconi

    University of Perugia, Italy

    3 publications · 42 citations

    3

    h-index

  5. AM
    Alexander Medvedev

    Uppsala University, Sweden

    3 publications · 30 citations

    3

    h-index

1–5 of 629

Institutions

288

  1. Princeton University

    Princeton, United States

    6 h-index

    15 publications

    808 citations

  2. Centre National de la Recherche Scientifique

    Paris, France

    6 h-index

    19 publications

    480 citations

  3. Tsinghua University

    Beijing, China

    5 h-index

    9 publications

    488 citations

  4. Intel (United States)

    Santa Clara, United States

    4 h-index

    4 publications

    387 citations

  5. Télécom Paris

    Palaiseau, France

    4 h-index

    14 publications

    299 citations

  6. Massachusetts Institute of Technology

    Cambridge, United States

    4 h-index

    8 publications

    546 citations

  7. Tianjin University

    Tianjin, China

    4 h-index

    12 publications

    284 citations

  8. Silicon Labs (United States)

    Austin, United States

    3 h-index

    5 publications

    345 citations

1–8 of 288

Venues

  1. Procedia Engineering

    6 publications · 97 citations

    6

    h-index

  2. 5

    h-index

  3. Journal of Hydraulic Engineering

    5 publications · 607 citations

    5

    h-index

  4. Journal of Cryptographic Engineering

    5 publications · 824 citations

    5

    h-index

  5. 3

    h-index

1–5