Concepedia

Graph-based Malware Classification

Graph-Based Malware Classification is a malware classification approach that utilizes graph structures to represent and analyze program behaviors or relationships, distinguishing itself by leveraging graph-theoretic methods to detect malicious patterns based on structural and topological features.

43

Publications

2.1K

Citations

147

Authors

68

Institutions

Publications per year

2017–2026

23

Parents

Publications

43

Structural detection of android malware using embedded call graphs

Hugo Gascón, Fabian Yamaguchi, Daniel J. Arp et al. · 2013 · 327 citations

, , +15

Malware classification based on call graph clustering

Joris Kinable, Orestis Kostakis · Journal in Computer Virology · 2011 · 187 citations

, , +12

Malware analysis using visualized images and entropy graphs

Kyoung Soo Han, Jae Hyun Lim, BooJoong Kang et al. · International Journal of Information Security · 2014 · 174 citations

, , +15

Guilt by association

Acar Tamersoy, Kevin Roundy, Duen Horng Chau · 2014 · 164 citations

, , +14

IoT-Based Android Malware Detection Using Graph Neural Network With Adversarial Defense

Biju Issac, Seibu Mary Jacob, Longzhi Yang · IEEE Internet of Things Journal · 2022 · 98 citations · Full text

, , +17

1–5 of 43

Authors

147

  1. GY
    Guanhua Yan

    Los Alamos National Laboratory, United States

    3 publications · 135 citations

    3

    h-index

  2. JY
    Jaesung Yun

    Korea University, South Korea

    2 publications · 37 citations

    2

    h-index

  3. JW
    Jiyoung Woo

    Soonchunhyang University, South Korea

    2 publications · 37 citations

    2

    h-index

  4. DK
    Deguang Kong

    The University of Texas at Arlington, United States

    2 publications · 95 citations

    2

    h-index

  5. HK
    Huy Kang Kim

    Korea University, South Korea

    2 publications · 37 citations

    2

    h-index

1–5 of 147

Institutions

68

  1. Korea University

    Seoul, South Korea

    3 h-index

    10 publications

    210 citations

  2. The University of Texas at Arlington

    Arlington, United States

    3 h-index

    2 publications

    95 citations

  3. Delft University of Technology

    Delft, The Netherlands

    2 h-index

    6 publications

    146 citations

  4. Los Alamos National Laboratory

    Los Alamos, United States

    2 h-index

    2 publications

    95 citations

  5. Sichuan University

    Chengdu, China

    2 h-index

    2 publications

    38 citations

  6. Shiraz University

    Shiraz, Iran

    1 h-index

    2 publications

    98 citations

  7. Singapore Institute of Technology

    Singapore, Singapore

    1 h-index

    1 publications

    11 citations

  8. National Yang Ming Chiao Tung University

    Hsinchu, Taiwan

    1 h-index

    5 publications

    110 citations

1–8 of 68

Venues

  1. 3

    h-index

  2. International Journal of Information Security

    2 publications · 200 citations

    2

    h-index

  3. Computers & Security

    2 publications · 107 citations

    2

    h-index

  4. Mathematical Problems in Engineering

    MPE · 2 publications · 36 citations

    2

    h-index

  5. Journal in Computer Virology

    2 publications · 197 citations

    2

    h-index

1–5