Fileless Malware Detection

Fileless Malware Detection is a cybersecurity methodology that identifies malicious activity within endpoint systems by analyzing anomalous behavioral patterns and in-memory execution traces rather than relying on traditional file-based signatures, thereby distinguishing it from conventional malware detection techniques that depend on static file artifacts.

19

Publications

740

Citations

66

Authors

39

Institutions

Publications per year

2017–2026

19

Authors

66

  1. DC
    Domhnall Carlin

    Queen's University Belfast, United Kingdom

    1 publications · 58 citations

    1

    h-index

  2. MV
    Manu Vardhan

    National Institute of Technology Raipur, India

    1 publications · 24 citations

    1

    h-index

  3. YT
    Yuan Tian

    Singapore Management University, Singapore

    1 publications · 13 citations

    1

    h-index

  4. SK
    Sushil Kumar

    Jawaharlal Nehru University, India

    1 publications · 159 citations

    1

    h-index

  5. İK
    İlker Kara

    Hacettepe University, Türkiye

    1 publications · 75 citations

    1

    h-index

1–5 of 66

Venues

  1. Sensors

    1 publications · 51 citations

    1

    h-index

  2. Journal of Cybersecurity and Privacy

    1 publications · 37 citations

    1

    h-index

  3. IEEE Transactions on Software Engineering

    TSE · 1 publications · 13 citations

    1

    h-index

  4. Expert Systems with Applications

    1 publications · 75 citations

    1

    h-index

  5. Applied Sciences

    1 publications · 61 citations

    1

    h-index

1–5