Deception Architecture

Deception Architecture is a cybersecurity framework designed to proactively detect, mislead, and neutralize adversarial threats by deploying decoys, lures, and falsified information within a network environment to distinguish malicious activity from legitimate user behavior.

67

Publications

3.4K

Citations

194

Authors

81

Institutions

Publications per year

2017–2026

37

Authors

194

  1. DF
    Daniel Fraunholz

    German Research Centre for Artificial Intelligence, Germany

    4 publications · 81 citations

    4

    h-index

  2. HD
    Hans D. Schotten

    University of Kaiserslautern, Germany

    3 publications · 69 citations

    3

    h-index

  3. ZL
    Zhuo Lu

    University of South Florida, United States

    2 publications · 122 citations

    2

    h-index

  4. AJ
    Alejo José G. Sisón

    Universidad de Navarra, Spain

    2 publications · 151 citations

    2

    h-index

  5. RS
    Ramesh Subbaraman

    AT&T (United States), United States

    2 publications · 37 citations

    2

    h-index

1–5 of 194

Venues

  1. Computers & Security

    3 publications · 288 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 51 citations

    2

    h-index

  3. Info

    2 publications · 210 citations

    2

    h-index

  4. 2

    h-index

  5. Symmetry

    2 publications · 115 citations

    2

    h-index

1–5