Deception Technologies

Deception Technologies is a cybersecurity methodology that distinguishes itself by proactively detecting, diverting, and analyzing adversarial activities through the deployment of decoys, lures, and falsified information designed to mislead attackers within a defended environment.

113

Publications

7.3K

Citations

295

Authors

128

Institutions

Publications per year

2017–2026

50

Variants

Deception Technology

Authors

295

  1. DF
    Daniel Fraunholz

    German Research Centre for Artificial Intelligence, Germany

    4 publications · 94 citations

    4

    h-index

  2. PR
    Paul Root Wolpe

    University of Pennsylvania, United States

    3 publications · 392 citations

    3

    h-index

  3. WM
    William M.S. Stout

    Sandia National Laboratories, United States

    3 publications · 52 citations

    3

    h-index

  4. HD
    Hans D. Schotten

    University of Kaiserslautern, Germany

    3 publications · 82 citations

    3

    h-index

  5. DD
    Daniel D. Langleben

    University of Pennsylvania, United States

    3 publications · 466 citations

    3

    h-index

1–5 of 295

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 178 citations

    4

    h-index

  2. SSRN Electronic Journal

    Repository · 3 publications · 835 citations

    3

    h-index

  3. Communications of the ACM

    3 publications · 158 citations

    3

    h-index

  4. Choice Reviews Online

    CRO · 2 publications · 1.2K citations

    2

    h-index

  5. 2

    h-index

1–5