Zero Trust Data Protection
Zero Trust Data Protection is a data security framework that enforces continuous verification and least-privilege access to data assets, distinguishing itself from traditional perimeter-based models by assuming no inherent trust within or outside the network boundary.
2
Publications
84
Citations
7
Authors
3
Institutions
Publications per year
2017–2026
2
Parents
2
Web3 Technologies: Challenges and Opportunities
Weikang Liu, Bin Cao, Mugen Peng · IEEE Network · 2023 · 52 citations
Protection of Sensitive Data in Zero Trust Model
Iftekhar Ahmed, Tahmin Nahar, Shahina Sultana Urmi et al. · 2020 · 32 citations
Towards a Model for Zero Trust Data
Jason M. Pittman, Shaho Alaee, Courtney Crosby et al. · American Journal of Science & Engineering · 2022 · 10 citations · Full text
1–5 of 2
7
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1–5 of 7
3
Zhejiang Lab
Hangzhou, China
1 h-index
1 publications
52 citations

Bangladesh University of Professionals
Dhaka, Bangladesh
1 h-index
4 publications
128 citations

Beijing University of Posts and Telecommunications
Beijing, China
1 h-index
3 publications
156 citations
Booz Allen Hamilton (United States)
Tysons Corner, United States
1 publications
10 citations
Hainan University
Haikou, China
1 publications
10 citations
Sungkyunkwan University
Seoul, South Korea
1 publications
16 citations

Manchester Metropolitan University
Manchester, United Kingdom
1 publications
16 citations
University of Hafr Al-Batin
Riyadh, Saudi Arabia
1 publications
16 citations
1–8 of 3
1 publications · 52 citations
1
h-index
AJSE · 1 publications · 10 citations
JISA · 1 publications · 10 citations
1 publications · 16 citations
1–4