Usage Pattern Privacy

Usage Pattern Privacy is a privacy-preserving construct in mobile computing that safeguards the temporal, spatial, and behavioral regularities of user interactions with mobile devices to prevent inference of sensitive personal information from observed usage sequences.

34

Publications

1.9K

Citations

119

Authors

69

Institutions

Publications per year

2017–2026

20

Authors

119

  1. HS
    Heather Shaw

    Lancaster University, United Kingdom

    2 publications · 45 citations

    2

    h-index

  2. BI
    Brittany I Davidson

    University of Bath, United Kingdom

    2 publications · 45 citations

    2

    h-index

  3. DA
    David A. Ellis

    Lancaster University, United Kingdom

    2 publications · 45 citations

    2

    h-index

  4. HD
    Huaiyu Dai

    North Carolina State University, United States

    2 publications · 321 citations

    2

    h-index

  5. SY
    Sun Yang

    Beijing University of Posts and Telecommunications, China

    1 publications · 13 citations

    1

    h-index

1–5 of 119

Venues

  1. Computers & Security

    2 publications · 31 citations

    2

    h-index

  2. Computers in Human Behavior

    2 publications · 379 citations

    2

    h-index

  3. IEEE Internet of Things Journal

    1 publications · 212 citations

    1

    h-index

  4. ACM Transactions on Computer-Human Interaction

    TOCHI · 1 publications · 348 citations

    1

    h-index

  5. Information Sciences

    1 publications · 43 citations

    1

    h-index

1–5