Spyware Behavior Analysis

Spyware Behavior Analysis is a computational forensic method that distinguishes itself within malware analysis techniques by specifically characterizing the operational semantics and data exfiltration patterns of spyware to identify, classify, and mitigate covert surveillance activities in digital environments.

44

Publications

2.5K

Citations

105

Authors

55

Institutions

Publications per year

2017–2026

7

Authors

105

  1. SD
    Steven D. Gribble

    University of Washington, United States

    3 publications · 362 citations

    3

    h-index

  2. JA
    Joseph A. Konstan

    University of Minnesota, United States

    3 publications · 231 citations

    3

    h-index

  3. DK
    Deirdre K. Mulligan

    University of California, Berkeley, United States

    3 publications · 231 citations

    3

    h-index

  4. TF
    Thomas F. Stafford

    University of Memphis, United States

    3 publications · 112 citations

    3

    h-index

  5. HM
    Henry M. Levy

    University of Washington, United States

    3 publications · 362 citations

    3

    h-index

1–5 of 105

Venues

  1. Communications of the ACM

    9 publications · 438 citations

    9

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 41 citations

    2

    h-index

  3. Network Security

    1 publications · 13 citations

    1

    h-index

  4. UEL Research Repository (University of East London)

    Repository · 1 publications · 16 citations

    1

    h-index

  5. Communications of the Association for Information Systems

    CAIS · 1 publications · 79 citations

    1

    h-index

1–5