Malware Detection

Malware Detection is a systematic academic concept in cybersecurity that constitutes a methodological framework for identifying malicious software by distinguishing anomalous or signature-based behavioral patterns from benign code executions within digital environments.

3K

Publications

166.6K

Citations

6.9K

Authors

1.8K

Institutions

Publications per year

2017–2026

1.9K

Authors

6.9K

  1. YY
    Yanfang Ye

    West Virginia University, United States

    25 publications · 2.2K citations

    22

    h-index

  2. CK
    Christopher Kruegel

    University of California, Santa Barbara, United States

    22 publications · 4K citations

    21

    h-index

  3. FM
    Francesco Mercaldo

    Institute of Informatics and Telematics, Italy

    24 publications · 1.2K citations

    19

    h-index

  4. YL
    Yang Liu

    Nanyang Technological University, Singapore

    24 publications · 1.6K citations

    19

    h-index

  5. YE
    Yuval Elovici

    Ben-Gurion University of the Negev, Israel

    19 publications · 2.3K citations

    17

    h-index

1–5 of 6.9K

Venues

  1. IEEE Access

    122 publications · 9.8K citations

    53

    h-index

  2. Computers & Security

    93 publications · 6.8K citations

    48

    h-index

  3. arXiv (Cornell University)

    Repository · 80 publications · 4.3K citations

    31

    h-index

  4. 27

    h-index

  5. Security and Communication Networks

    48 publications · 1.5K citations

    24

    h-index

1–5