Concepedia

Hybrid Malware Classification

Hybrid Malware Classification is a malware classification approach that integrates both static and dynamic analysis techniques to improve detection accuracy by leveraging the complementary strengths of signature-based and behavioral-based methods.

24

Publications

1.2K

Citations

90

Authors

42

Institutions

Publications per year

2017–2026

19

Parents

Publications

24

A New Malware Classification Framework Based on Deep Learning Algorithms

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

, , +13

Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features

Maryam Nisa, Jamal Hussain Shah, Shansa Kanwal et al. · Applied Sciences · 2020 · 135 citations · Full text

, , +16

AI-HydRa: Advanced hybrid approach using random forest and deep learning for malware classification

Su-Yeon Yoo, Sung-Jin Kim, Seung-Jae Kim et al. · Information Sciences · 2020 · 107 citations · Full text

, , +14

Fusing feature engineering and deep learning: A case study for malware classification

Daniel Gibert, Jordi Planes, Carles Mateu et al. · Expert Systems with Applications · 2022 · 78 citations · Full text

, , +17

Novel hybrid classifier based on fuzzy type-III decision maker and ensemble deep learning model and improved chaos game optimization

Nastaran Mehrabi Hashjin, Mohammad Hussein Amiri, Ardashir Mohammadzadeh et al. · Cluster Computing · 2024 · 60 citations · Full text

, , +17

1–5 of 24

Authors

90

  1. SL
    Shudong Li

    Guangzhou University, China

    1 publications · 34 citations

    1

    h-index

  2. GB
    Gandeva Bayu Satrya

    Telkom University, Indonesia

    1 publications · 15 citations

    1

    h-index

  3. SO
    Stephen O’Shaughnessy

    Technological University Dublin, Ireland

    1 publications · 40 citations

    1

    h-index

  4. SY
    Su-Yeon Yoo

    Cheju Halla University, South Korea

    1 publications · 107 citations

    1

    h-index

  5. TM
    Temesguen Messay-Kebede

    University of Dayton, United States

    1 publications · 23 citations

    1

    h-index

1–5 of 90

Institutions

42

  1. King Abdulaziz University

    Jeddah, Saudi Arabia

    2 h-index

    3 publications

    117 citations

  2. Nanyang Technological University

    Singapore, Singapore

    1 h-index

    3 publications

    114 citations

  3. Astana Medical University

    Nur-Sultan, Kazakhstan

    1 h-index

    1 publications

    60 citations

  4. Kaunas University of Technology

    Kaunas, Lithuania

    1 h-index

    2 publications

    270 citations

  5. Korea University

    Seoul, South Korea

    1 h-index

    4 publications

    148 citations

  6. Korea Advanced Institute of Science and Technology

    Daejeon, South Korea

    1 h-index

    3 publications

    321 citations

  7. University of Energy and Natural Resources

    Sunyani, Ghana

    1 h-index

    1 publications

    25 citations

  8. Gazi University

    Ankara, Turkey

    1 h-index

    3 publications

    54 citations

1–8 of 42

Venues

  1. Applied Sciences

    2 publications · 188 citations

    2

    h-index

  2. Computers & Security

    2 publications · 53 citations

    2

    h-index

  3. Neural Computing and Applications

    2 publications · 85 citations

    2

    h-index

  4. Computer Networks

    1 publications · 22 citations

    1

    h-index

  5. PeerJ Computer Science

    1 publications · 18 citations

    1

    h-index

1–5