Concepedia

Ensemble Malware Classification

Ensemble Malware Classification is a machine learning approach in cybersecurity that combines multiple heterogeneous or homogeneous malware detection models within a unified framework to improve classification accuracy and robustness by leveraging the strengths of individual classifiers while mitigating their individual limitations.

73

Publications

4.9K

Citations

234

Authors

124

Institutions

Publications per year

2017–2026

59

Parents

Publications

73

Large-scale malware classification using random projections and neural networks

George E. Dahl, Jack W. Stokes, Li Deng et al. · 2013 · 452 citations

, , +16

Image-Based malware classification using ensemble of CNN architectures (IMCEC)

Danish Vasan, Mamoun Alazab, Sobia Wassan et al. · Computers & Security · 2020 · 394 citations

, , +14

Machine Learning for Encrypted Malware Traffic Classification

Blake Anderson, David McGrew · 2017 · 269 citations

, , +17

Detecting Malware with an Ensemble Method Based on Deep Neural Network

Jinpei Yan, Yong Qi, Qifan Rao · Security and Communication Networks · 2018 · 186 citations · Full text

, , +14

Discriminant malware distance learning on structural information for automated malware classification

Deguang Kong, Guanhua Yan · 2013 · 171 citations

, , +14

1–5 of 73

Authors

234

  1. FU
    Farhan Ullah

    Northwestern Polytechnical University, China

    4 publications · 207 citations

    4

    h-index

  2. HH
    Houman Homayoun

    George Mason University, United States

    3 publications · 219 citations

    3

    h-index

  3. YY
    Yanfang Ye

    West Virginia University, United States

    3 publications · 214 citations

    3

    h-index

  4. HS
    Hossein Sayadi

    George Mason University, United States

    3 publications · 219 citations

    3

    h-index

  5. SR
    Setareh Rafatirad

    George Mason University, United States

    3 publications · 219 citations

    3

    h-index

1–5 of 234

Institutions

124

  1. Northwestern Polytechnical University

    Xi'an, China

    4 h-index

    5 publications

    242 citations

  2. George Mason University

    Fairfax, United States

    4 h-index

    17 publications

    1.3K citations

  3. Zhoukou Normal University

    Zhoukou, China

    3 h-index

    5 publications

    273 citations

  4. Fujian Normal University

    Fuzhou, China

    2 h-index

    2 publications

    109 citations

  5. Deakin University

    Burwood, Australia

    2 h-index

    4 publications

    97 citations

  6. Instituto Politécnico Nacional

    Mexico City, Mexico

    2 h-index

    7 publications

    274 citations

  7. Intel (United States)

    Santa Clara, United States

    2 h-index

    4 publications

    207 citations

  8. West Virginia University

    Morgantown, United States

    2 h-index

    5 publications

    282 citations

1–8 of 124

Venues

  1. Sensors

    3 publications · 137 citations

    3

    h-index

  2. IEEE Access

    2 publications · 94 citations

    2

    h-index

  3. Electronics

    2 publications · 174 citations

    2

    h-index

  4. Applied Intelligence

    2 publications · 103 citations

    2

    h-index

  5. Security and Communication Networks

    2 publications · 211 citations

    2

    h-index

1–5