Opcode Sequence Analysis

Opcode Sequence Analysis is a computational method in malware classification and attribution that identifies and examines the sequential patterns of low-level processor instructions, or opcodes, extracted from disassembled binary code to distinguish malicious from benign software behaviors and link malware variants to their sources.

52

Publications

3.5K

Citations

177

Authors

68

Institutions

Publications per year

2017–2026

33

Authors

177

  1. AD
    Ali Dehghantanha

    University of Guelph, Canada

    3 publications · 569 citations

    3

    h-index

  2. SH
    Sattar Hashemi

    Shiraz University, Iran

    3 publications · 202 citations

    3

    h-index

  3. KR
    Kim‐Kwang Raymond Choo

    The University of Texas at San Antonio, United States

    3 publications · 569 citations

    3

    h-index

  4. NM
    Niall McLaughlin

    Queen's University Belfast, United Kingdom

    2 publications · 564 citations

    2

    h-index

  5. PG
    Pablo G. Bringas

    Universidad de Deusto, Spain

    2 publications · 492 citations

    2

    h-index

1–5 of 177

Venues

  1. IET Information Security

    2 publications · 97 citations

    2

    h-index

  2. Security and Communication Networks

    2 publications · 66 citations

    2

    h-index

  3. Information Sciences

    2 publications · 541 citations

    2

    h-index

  4. 2

    h-index

  5. 1

    h-index

1–5