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
Parents
2.4K
Ashwin Machanavajjhala, Daniel Kifer, Johannes Gehrke et al. · ACM Transactions on Knowledge Discovery from Data · 2007 · 3.6K citations
L-diversity: privacy beyond k-anonymity
Ashwin Machanavajjhala, Johannes Gehrke, Daniel Kifer et al. · 2006 · 2.4K citations
The protection of information in computer systems
Jerome H. Saltzer, Michael Schroeder · Proceedings of the IEEE · 1975 · 1.9K citations
1–5 of 2.4K
7K
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13
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13
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Western Norway University of Applied Sciences, Norway
14 publications · 659 citations
13
h-index
1–5 of 7K
1.9K

Xidian University
Xi'an, China
23 h-index
98 publications
4.7K citations
Purdue University West Lafayette
West Lafayette, United States
23 h-index
53 publications
3.3K citations

Chinese Academy of Sciences
Beijing, China
21 h-index
86 publications
4.8K citations
Carnegie Mellon University
Pittsburgh, United States
21 h-index
61 publications
9.4K citations

Pennsylvania State University
State College, United States
19 h-index
45 publications
2.8K citations

University of Electronic Science and Technology of China
Chengdu, China
18 h-index
60 publications
4.4K citations

Cornell University
Ithaca, United States
18 h-index
43 publications
29.6K citations

Beijing University of Posts and Telecommunications
Beijing, China
17 h-index
62 publications
2.2K citations
1–8 of 1.9K
72 publications · 4K citations
35
h-index
37 publications · 2.6K citations
28
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Repository · 67 publications · 2.2K citations
26
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32 publications · 3.6K citations
25
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TKDE · 24 publications · 1.8K citations
20
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1–5