Privacy Computing: Concept, Computing Framework, and Future Development Trends-Reference-Cited by-同舟云学术

Privacy Computing: Concept, Computing Framework, and Future Development Trends

Published:2019-12 Issue:6 Volume:5 Page:1179-1192
ISSN:2095-8099
Container-title:Engineering
language:en
Short-container-title:Engineering

Author:

Li Fenghua,Li Hui,Niu Ben,Chen Jinjun

Funder

Baidu, Inc

National Key Research and Development Program of China

National Natural Science Foundation of China

Youth Innovation Promotion Association

Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

General Engineering,Energy Engineering and Power Technology,Materials Science (miscellaneous),General Chemical Engineering,Environmental Engineering,General Computer Science

Reference57 articles.

1. Authenticating mandatory access controls and preserving privacy for a high-assurance smart card;Scherzer,2003

2. Mandatory access control;Lindqvist,2006

3. Shamon: a system for distributed mandatory access control;McCune,2006

4. Dynamic accumulator based discretionary access control for outsourced storage with unlinkable access;Slamanig,2012

5. How to do discretionary access control using roles;Sandhu,1998

Cited by 53 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analyzing the Impact of Information Features on User Continuance Intent in Recommendation Systems;International Journal on Semantic Web and Information Systems;2024-09-06

2. When Federated Learning Meets Privacy-Preserving Computation;ACM Computing Surveys;2024-07-22

3. Personal Credit Evaluation Model Based on Federated Learning;2024 IEEE 14th International Conference on Electronics Information and Emergency Communication (ICEIEC);2024-05-24

4. Industrial blockchain threshold signatures in federated learning for unified space-air-ground-sea model training;Journal of Industrial Information Integration;2024-05

5. Linkage Deanonymization Risks, Data-Matching and Privacy: A Case Study;2024 8th International Conference on Cryptography, Security and Privacy (CSP);2024-04-20