Container Malware Detection

Container Malware Detection is a specialized method in container security testing that identifies malicious software within containerized environments by analyzing container images, runtime behaviors, and filesystem artifacts to distinguish malware from legitimate processes based on signature, heuristic, or anomaly-based indicators.

3

Publications

128

Citations

13

Authors

4

Institutions

Publications per year

2017–2026

3

Authors

13

  1. YW
    Yanhao Wang

    Tsinghua University, China

    1 publications · 14 citations

    1

    h-index

  2. WS
    Wenqi Sun

    Qufu Normal University, China

    1 publications · 14 citations

    1

    h-index

  3. SS
    Sahil Suneja

    University of Toronto, Canada

    1 publications · 102 citations

    1

    h-index

  4. YX
    Yihang Xia

    Southeast University, China

    1 publications · 14 citations

    1

    h-index

  5. RZ
    Ruijie Zhao

    Shanghai Jiao Tong University, China

    1 publications · 14 citations

    1

    h-index

1–5 of 13

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 102 citations

    1

    h-index

  2. Journal of Information Security and Applications

    JISA · 1 publications · 14 citations

    1

    h-index

  3. Computers & Security

    1 publications · 12 citations

  4. Soft Computing

    1 publications · 12 citations

  5. IEEE Access

    1 publications · 10 citations

1–5