Concepedia

Malware Variant Classification

Malware Variant Classification is a systematic methodology within malware analysis that distinguishes subtypes of a known malware family based on shared code, behavioral, or structural characteristics, thereby enabling precise categorization and tracking of evolved malicious software instances.

96

Publications

5.6K

Citations

296

Authors

134

Institutions

Publications per year

2017–2026

48

Parents

Publications

96

Semantics-aware malware detection

Mihai Christodorescu, Somesh Jha, Sanjit A. Seshia et al. · 2005 · 723 citations · Full text

, , +10

Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification

Mansour Ahmadi, Dmitry Ulyanov, Stanislav Semenov et al. · 2016 · 350 citations

, , +15

Malicious Software Classification Using Transfer Learning of ResNet-50 Deep Neural Network

Edmar Rezende, Guilherme Ruppert, Tiago Carvalho et al. · 2017 · 286 citations

, , +14

A New Malware Classification Framework Based on Deep Learning Algorithms

Ömer Aslan · IEEE Access · 2021 · 224 citations · Full text

, , +13

Automatically Evading Classifiers: A Case Study on PDF Malware Classifiers

Weilin Xu, Yanjun Qi, David Evans · 2016 · 221 citations · Full text

, , +13

1–5 of 96

Authors

296

  1. EG
    Eul Gyu Im

    Hanyang University, South Korea

    6 publications · 216 citations

    6

    h-index

  2. AW
    Andrew Walenstein

    University of Louisiana at Lafayette, United States

    5 publications · 106 citations

    5

    h-index

  3. AL
    Arun Lakhotia

    University of Louisiana at Lafayette, United States

    4 publications · 84 citations

    4

    h-index

  4. DK
    Deguang Kong

    The University of Texas at Arlington, United States

    3 publications · 266 citations

    3

    h-index

  5. MR
    Muhammad Rashid Naeem

    Leshan Normal University, China

    3 publications · 153 citations

    3

    h-index

1–5 of 296

Institutions

134

  1. University of Louisiana at Lafayette

    Lafayette, United States

    5 h-index

    14 publications

    304 citations

  2. Hanyang University

    Seoul, South Korea

    5 h-index

    14 publications

    567 citations

  3. University of Technology Malaysia

    Johor Bahru, Malaysia

    4 h-index

    13 publications

    416 citations

  4. Los Alamos National Laboratory

    Los Alamos, United States

    3 h-index

    3 publications

    266 citations

  5. Sichuan University

    Chengdu, China

    3 h-index

    10 publications

    535 citations

  6. The University of Texas at Arlington

    Arlington, United States

    3 h-index

    3 publications

    266 citations

  7. North Carolina State University

    Raleigh, United States

    2 h-index

    4 publications

    258 citations

  8. Nanyang Technological University

    Singapore, Singapore

    2 h-index

    9 publications

    552 citations

1–8 of 134

Venues

  1. IEEE Access

    6 publications · 499 citations

    6

    h-index

  2. Expert Systems with Applications

    2 publications · 70 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 56 citations

    2

    h-index

  4. Scientific Reports

    2 publications · 82 citations

    2

    h-index

  5. Sensors

    2 publications · 32 citations

    2

    h-index

1–5