Multi-stage Attack Detection

Multi-Stage Attack Detection is a cybersecurity threat detection paradigm that identifies coordinated sequences of adversarial actions across multiple phases of an attack lifecycle by analyzing temporal dependencies, behavioral patterns, and contextual intelligence to distinguish multi-stage intrusion campaigns from isolated or opportunistic threats.

159

Publications

7.5K

Citations

558

Authors

224

Institutions

Publications per year

2017–2026

101

Authors

558

  1. SJ
    Shanchieh Jay Yang

    Rochester Institute of Technology, United States

    9 publications · 353 citations

    9

    h-index

  2. JH
    Jared Holsopple

    Rochester Institute of Technology, United States

    6 publications · 196 citations

    6

    h-index

  3. AS
    Adam Stotz

    University at Buffalo, State University of New York, United States

    5 publications · 191 citations

    5

    h-index

  4. MS
    Moises Sudit

    University at Buffalo, State University of New York, United States

    4 publications · 149 citations

    4

    h-index

  5. SU
    Shambhu Upadhyaya

    University at Buffalo, State University of New York, United States

    4 publications · 119 citations

    4

    h-index

1–5 of 558

Venues

  1. Computers & Security

    8 publications · 550 citations

    8

    h-index

  2. IEEE Transactions on Dependable and Secure Computing

    TDSC · 5 publications · 331 citations

    5

    h-index

  3. Future Generation Computer Systems

    FGCS · 4 publications · 282 citations

    4

    h-index

  4. IEEE Access

    4 publications · 158 citations

    4

    h-index

  5. IEEE Internet of Things Journal

    3 publications · 329 citations

    3

    h-index

1–5