Permission-based Classification

Permission-Based Classification is a malware classification approach that categorizes malicious software based on the set of system permissions requested or exploited by the software, distinguishing it from other behavioral or signature-based methods by focusing on authorization requirements as the primary discriminative feature.

37

Publications

2K

Citations

107

Authors

46

Institutions

Publications per year

2017–2026

23

Authors

107

  1. İA
    İbrahim Alper Doğru

    Gazi University, Türkiye

    2 publications · 87 citations

    2

    h-index

  2. AA
    Altyeb Altaher

    King Abdulaziz University, Saudi Arabia

    2 publications · 76 citations

    2

    h-index

  3. EG
    Ekta Gandotra

    Jaypee University of Information Technology, India

    1 publications · 12 citations

    1

    h-index

  4. PR
    P. Ravi Kiran Varma

    Maharaj Vijayaram Gajapathi Raj College of Engineering, India

    1 publications · 25 citations

    1

    h-index

  5. ZM
    Zhongmin Ma

    Virginia Tech, United States

    1 publications · 44 citations

    1

    h-index

1–5 of 107

Venues

  1. Cluster Computing

    2 publications · 74 citations

    2

    h-index

  2. Neural Computing and Applications

    2 publications · 96 citations

    2

    h-index

  3. 1

    h-index

  4. PLoS ONE

    1 publications · 37 citations

    1

    h-index

  5. ACM Transactions on Information Systems

    1 publications · 48 citations

    1

    h-index

1–5