Internal Reconnaissance

Internal Reconnaissance is a method within the domain of cybersecurity incident response that involves the systematic collection and analysis of network, system, and user information following initial compromise to identify potential pathways and targets for lateral movement within an enterprise environment.

6

Publications

258

Citations

29

Authors

7

Institutions

Publications per year

2017–2026

1

Authors

29

  1. AJ
    Andrew J. Graettinger

    University of Alabama, United States

    1 publications · 21 citations

    1

    h-index

  2. RK
    Rakesh Kumar Gupta

    West Virginia University, United States

    1 publications · 21 citations

    1

    h-index

  3. ST
    Satoru Torii

    Fujitsu (Japan), Japan

    1 publications · 15 citations

    1

    h-index

  4. DO
    David O. Prevatt

    University of Florida, United States

    1 publications · 21 citations

    1

    h-index

  5. RE
    Robert Emerson

    Oklahoma State University, United States

    1 publications · 21 citations

    1

    h-index

1–5 of 29

Venues

  1. The Journal of Philosophy

    1 publications · 25 citations

    1

    h-index

  2. Chemosphere

    1 publications · 12 citations

    1

    h-index

  3. Bulletin of Entomological Research

    1 publications · 10 citations

    1

    h-index

  4. QUT ePrints (Queensland University of Technology)

    Repository · 1 publications · 21 citations

    1

    h-index

  5. Geophysics

    1 publications · 175 citations

    1

    h-index

1–5