Sensitive Information Protection

Sensitive Information Protection is a systematic framework within security procurement that governs the identification, classification, and safeguarding of confidential data to prevent unauthorized access, disclosure, or exploitation, distinguishing itself by its focus on preserving the confidentiality and integrity of information throughout procurement processes.

2.4K

Publications

133.1K

Citations

7K

Authors

1.9K

Institutions

Publications per year

2017–2026

1.2K

Authors

7K

  1. XD
    Xiaojiang Du

    Temple University, United States

    15 publications · 1.1K citations

    15

    h-index

  2. AM
    Ashwin Machanavajjhala

    Duke University, United States

    15 publications · 7.2K citations

    14

    h-index

  3. EB
    Elisa Bertino

    Purdue University West Lafayette, United States

    14 publications · 1.3K citations

    13

    h-index

  4. LZ
    Liehuang Zhu

    Beijing Institute of Technology, China

    13 publications · 1.3K citations

    13

    h-index

  5. JC
    Jerry Chun‐Wei Lin

    Western Norway University of Applied Sciences, Norway

    14 publications · 659 citations

    13

    h-index

1–5 of 7K

Venues

  1. IEEE Access

    72 publications · 4K citations

    35

    h-index

  2. IEEE Internet of Things Journal

    37 publications · 2.6K citations

    28

    h-index

  3. arXiv (Cornell University)

    Repository · 67 publications · 2.2K citations

    26

    h-index

  4. 25

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 24 publications · 1.8K citations

    20

    h-index

1–5