Kill Chain Modeling

Kill Chain Modeling is a strategic analytical framework that decomposes and represents the sequential stages of an adversary's cyberattack lifecycle to enable systematic detection, disruption, and mitigation of malicious activities.

42

Publications

1.4K

Citations

134

Authors

54

Institutions

Publications per year

2017–2026

37

Authors

134

  1. BB
    Blake Bryant

    University of Kansas, United States

    2 publications · 109 citations

    2

    h-index

  2. RH
    Romuald Hoffmann

    Military University of Technology in Warsaw, Poland

    2 publications · 38 citations

    2

    h-index

  3. HS
    Hossein Saiedian

    University of Kansas, United States

    2 publications · 109 citations

    2

    h-index

  4. ZX
    Zhen Xu

    Chinese Academy of Sciences, China

    1 publications · 14 citations

    1

    h-index

  5. RB
    Robin Burkett

    Accenture (United States), United States

    1 publications · 21 citations

    1

    h-index

1–5 of 134

Venues

  1. Multimedia Tools and Applications

    2 publications · 53 citations

    2

    h-index

  2. Computers & Security

    2 publications · 109 citations

    2

    h-index

  3. Journal of Cybersecurity

    JCS · 2 publications · 35 citations

    2

    h-index

  4. Defence Technology

    1 publications · 41 citations

    1

    h-index

  5. 1

    h-index

1–5