Attack Vector Mapping

Attack Vector Mapping is a systematic method used in social engineering testing to identify, classify, and analyze potential pathways through which human vulnerabilities can be exploited, distinguished by its focus on modeling psychological and organizational weak points as targets for simulated adversarial interventions.

11

Publications

417

Citations

34

Authors

15

Institutions

Publications per year

2017–2026

8

Authors

34

  1. GB
    Georgios Bakirtzis

    University of Virginia, United States

    2 publications · 51 citations

    2

    h-index

  2. CF
    Cody Fleming

    University of Virginia, United States

    2 publications · 51 citations

    2

    h-index

  3. CE
    Carl Elks

    Virginia Commonwealth University, United States

    2 publications · 51 citations

    2

    h-index

  4. JF
    Jack F. Bravo‐Torres

    Politecnica Salesiana University, Ecuador

    1 publications · 49 citations

    1

    h-index

  5. RT
    Russell Tessier

    University of Massachusetts Amherst, United States

    1 publications · 122 citations

    1

    h-index

1–5 of 34

Venues

  1. 2018 Annual IEEE International Systems Conference (SysCon)

    Conference · 1 publications · 28 citations

    1

    h-index

  2. IEEE Systems Journal

    ISJ · 1 publications · 23 citations

    1

    h-index

  3. Network Security

    1 publications · 12 citations

    1

    h-index

  4. IEEE Access

    1 publications · 48 citations

    1

    h-index

  5. IEEE Transactions on Smart Grid

    1 publications · 46 citations

    1

    h-index

1–5