Information flow control on encrypted data for service composition among multiple clouds

Information flow control on encrypted data for service composition among multiple clouds Distrib Parallel Databases https://doi.org/10.1007/s10619-018-7228-2 Information flow control on encrypted data for service composition among multiple clouds 1 1 1 2 2 Ning Xi · Jianfeng Ma · Cong Sun · Di Lu · Yulong Shen © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Homomorphic encryption allows the direct operations on encrypted data, which provides a promising way to protect outsourcing data in clouds. However, it can not guarantee the end-to-end data security if different cloud services are com- posed together. Especially for the operations on encrypted data, it may violate the standard noninterference, which can not be solved by traditional information flow control approaches. In order to analyze the information flow with encrypted data, we define a new type of flow called the encryption flow to describe the dependence rela- tionship among different encrypted data objects across multiple services. Based on the new definition on encrypted flow, we propose the secure information flow verification theorem and specify the improved security constraints on each service component. Then a distributed information flow control framework and algorithm are designed for verification on regular and encrypted flow across multiple clouds. Through the experiments, we can obtain that our approach is http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Distributed and Parallel Databases Springer Journals

Information flow control on encrypted data for service composition among multiple clouds

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Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Computer Science; Database Management; Data Structures; Information Systems Applications (incl.Internet); Operating Systems; Memory Structures
ISSN
0926-8782
eISSN
1573-7578
D.O.I.
10.1007/s10619-018-7228-2
Publisher site
See Article on Publisher Site

Abstract

Distrib Parallel Databases https://doi.org/10.1007/s10619-018-7228-2 Information flow control on encrypted data for service composition among multiple clouds 1 1 1 2 2 Ning Xi · Jianfeng Ma · Cong Sun · Di Lu · Yulong Shen © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Homomorphic encryption allows the direct operations on encrypted data, which provides a promising way to protect outsourcing data in clouds. However, it can not guarantee the end-to-end data security if different cloud services are com- posed together. Especially for the operations on encrypted data, it may violate the standard noninterference, which can not be solved by traditional information flow control approaches. In order to analyze the information flow with encrypted data, we define a new type of flow called the encryption flow to describe the dependence rela- tionship among different encrypted data objects across multiple services. Based on the new definition on encrypted flow, we propose the secure information flow verification theorem and specify the improved security constraints on each service component. Then a distributed information flow control framework and algorithm are designed for verification on regular and encrypted flow across multiple clouds. Through the experiments, we can obtain that our approach is

Journal

Distributed and Parallel DatabasesSpringer Journals

Published: Jun 1, 2018

References

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