Tor Network Analysis

Tor Network Analysis is a methodological framework within dark web intelligence that specializes in examining the structural, behavioral, and traffic characteristics of the Tor anonymity network to identify vulnerabilities, de-anonymize users, or detect malicious activities, distinguishing it from broader network analysis approaches by its focused application to Tor’s encrypted and layered routing architecture.

91

Publications

5.1K

Citations

256

Authors

115

Institutions

Publications per year

2017–2026

40

Authors

256

  1. KL
    Karsten Loesing

    The Tor Project, United States

    4 publications · 103 citations

    4

    h-index

  2. DS
    Diana S. Dolliver

    University of Alabama, United States

    4 publications · 250 citations

    4

    h-index

  3. TO
    Tetsuya Oda

    Fukuoka Institute of Technology, Japan

    3 publications · 53 citations

    3

    h-index

  4. XF
    Xinwen Fu

    University of Massachusetts Lowell, United States

    3 publications · 266 citations

    3

    h-index

  5. WY
    Wei Yu

    Towson University, United States

    3 publications · 266 citations

    3

    h-index

1–5 of 256

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 124 citations

    2

    h-index

  2. SSRN Electronic Journal

    Repository · 2 publications · 36 citations

    2

    h-index

  3. Proceedings on Privacy Enhancing Technologies

    PoPETs · 2 publications · 126 citations

    2

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 27 citations

    1

    h-index

  5. 1

    h-index

1–5