Heuristic Detection

Heuristic Detection is a method within the domain of threat detection that identifies previously unknown malware or suspicious behaviors by analyzing code structures, execution patterns, and logical rules derived from known malicious tactics, thereby distinguishing itself from signature-based techniques through its reliance on analytical inference rather than exact matches.

57

Publications

5.4K

Citations

187

Authors

80

Institutions

Publications per year

2017–2026

23

Authors

187

  1. GG
    Giorgio Giacinto

    University of Cagliari, Italy

    2 publications · 119 citations

    2

    h-index

  2. SS
    Sudarshan S. Chawathe

    University of Maine, United States

    2 publications · 339 citations

    2

    h-index

  3. AH
    Ali Hamzeh

    Shiraz University, Iran

    2 publications · 313 citations

    2

    h-index

  4. HG
    Héctor García-Molina

    Stanford University, United States

    2 publications · 339 citations

    2

    h-index

  5. PH
    Peng Hui Tan

    Chalmers University of Technology, Sweden

    1 publications · 15 citations

    1

    h-index

1–5 of 187

Venues

  1. IEEE Access

    2 publications · 82 citations

    2

    h-index

  2. 2

    h-index

  3. Computers & Security

    2 publications · 64 citations

    2

    h-index

  4. Developmental Psychology

    1 publications · 43 citations

    1

    h-index

  5. BMC Genomics

    1 publications · 30 citations

    1

    h-index

1–5