Concepedia

Cross-device Tracking Risks

Cross-Device Tracking Risks is a privacy threat model that identifies vulnerabilities arising from the ability of entities to correlate user behaviors across multiple devices, thereby enabling persistent profiling and surveillance despite device-specific anonymization or isolation measures.

2

Publications

57

Citations

8

Authors

4

Institutions

Publications per year

2017–2026

2

Parents

Publications

2

1–2 of 2

Authors

8

  1. SZ
    Sebastian Zimmeck

    Wesleyan University, United States

    1 publications · 44 citations

    1

    h-index

  2. SM
    Steven M. Bellovin

    Columbia University, United States

    1 publications · 44 citations

    1

    h-index

  3. NM
    Nikolay Matyunin

    Technische Universität Darmstadt, Germany

    1 publications · 13 citations

    1

    h-index

  4. SK
    Stefan Katzenbeisser

    Technische Universität Darmstadt, Germany

    1 publications · 13 citations

    1

    h-index

  5. HK
    Hyungtae Kim

    Carnegie Mellon University, United States

    1 publications · 44 citations

    1

    h-index

1–5 of 8

Institutions

4

  1. Yale University

    New Haven, United States

    1 h-index

    1 publications

    13 citations

  2. Technische Universität Darmstadt

    Darmstadt, Germany

    1 h-index

    1 publications

    13 citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    1 h-index

    1 publications

    44 citations

  4. Columbia University

    New York, United States

    1 h-index

    2 publications

    88 citations

1–4 of 4

Venues

  1. USENIX Security Symposium

    Conference · 1 publications · 44 citations

    1

    h-index

1–1