Malicious App Detection

Malicious App Detection is a systematic computational approach that distinguishes harmful mobile applications from benign ones by analyzing behavioral, structural, or semantic attributes indicative of security threats.

1.3K

Publications

87.7K

Citations

3.4K

Authors

950

Institutions

Publications per year

2017–2026

767

Authors

3.4K

  1. JK
    Jacques Klein

    University of Luxembourg, Luxembourg

    33 publications · 5.2K citations

    24

    h-index

  2. LL
    Li Li

    Monash University, Australia

    31 publications · 1.9K citations

    23

    h-index

  3. TF
    Tegawendé F. Bissyandé

    University of Luxembourg, Luxembourg

    25 publications · 2.4K citations

    20

    h-index

  4. FM
    Francesco Mercaldo

    Institute of Informatics and Telematics, Italy

    29 publications · 1.5K citations

    20

    h-index

  5. YL
    Yves Le Traon

    University of Luxembourg, Luxembourg

    19 publications · 4.5K citations

    17

    h-index

1–5 of 3.4K

Venues

  1. Computers & Security

    40 publications · 3K citations

    30

    h-index

  2. IEEE Access

    31 publications · 2.2K citations

    23

    h-index

  3. 19

    h-index

  4. arXiv (Cornell University)

    Repository · 36 publications · 1.5K citations

    19

    h-index

  5. Security and Communication Networks

    21 publications · 439 citations

    15

    h-index

1–5