Malicious App Classification

Malicious App Classification is a computational method that distinguishes potentially harmful mobile applications from benign ones by analyzing behavioral, structural, or syntactic features unique to malicious software.

129

Publications

7.6K

Citations

434

Authors

201

Institutions

Publications per year

2017–2026

98

Authors

434

  1. XL
    Xiapu Luo

    Hong Kong Polytechnic University, Hong Kong SAR China

    4 publications · 97 citations

    4

    h-index

  2. YG
    Yao Guo

    Peking University, China

    4 publications · 98 citations

    4

    h-index

  3. GX
    Guoai Xu

    Beijing University of Posts and Telecommunications, China

    4 publications · 104 citations

    4

    h-index

  4. LL
    Li Li

    Monash University, Australia

    4 publications · 228 citations

    4

    h-index

  5. TF
    Tegawendé F. Bissyandé

    University of Luxembourg, Luxembourg

    3 publications · 964 citations

    3

    h-index

1–5 of 434

Venues

  1. Computers & Security

    7 publications · 651 citations

    7

    h-index

  2. 4

    h-index

  3. Future Generation Computer Systems

    FGCS · 4 publications · 342 citations

    4

    h-index

  4. IEEE Access

    3 publications · 162 citations

    3

    h-index

  5. Multimedia Tools and Applications

    3 publications · 86 citations

    3

    h-index

1–5