Privacy Attack Detection

Privacy Attack Detection is a methodological framework within mobile privacy research that identifies unauthorized inferences or intrusions on personal data by distinguishing anomalous patterns indicative of privacy breaches from normal system behavior.

50

Publications

2.3K

Citations

191

Authors

91

Institutions

Publications per year

2017–2026

29

Authors

191

  1. YC
    Yingying Chen

    Rutgers, The State University of New Jersey, United States

    2 publications · 54 citations

    2

    h-index

  2. NS
    Nitesh Saxena

    University of Alabama at Birmingham, United States

    2 publications · 54 citations

    2

    h-index

  3. YE
    Yuval Elovici

    Ben-Gurion University of the Negev, Israel

    2 publications · 56 citations

    2

    h-index

  4. MC
    Mauro Conti

    University of Padua, Italy

    2 publications · 272 citations

    2

    h-index

  5. SA
    S Abhishek Anand

    University of Alabama at Birmingham, United States

    2 publications · 54 citations

    2

    h-index

1–5 of 191

Venues

  1. Pervasive and Mobile Computing

    2 publications · 38 citations

    2

    h-index

  2. 2

    h-index

  3. Computer Communications

    2 publications · 41 citations

    2

    h-index

  4. Proceedings on Privacy Enhancing Technologies

    PoPETs · 2 publications · 40 citations

    2

    h-index

  5. 1

    h-index

1–5