A Flow Sensitive Security Model for Cloud Computing Systems
Wen Zeng, Chunyan Mu, Maciej Koutny, Paul Watson

TL;DR
This paper introduces a flow sensitive security model tailored for cloud computing systems, addressing the security challenges in federated cloud environments with mixed public and private resources.
Contribution
It proposes a novel security model that considers data flow sensitivities in federated cloud settings, enhancing security policy enforcement.
Findings
Improves security policy accuracy in cloud environments
Addresses data flow sensitivities in federated clouds
Enhances security management in hybrid cloud systems
Abstract
The extent and importance of cloud computing is rapidly increasing due to the ever increasing demand for internet services and communications. Instead of building individual information technology infrastructure to host databases or software, a third party can host them in its large server clouds. Large organizations may wish to keep sensitive information on their more restricted servers rather than in the public cloud. This has led to the introduction of federated cloud computing (FCC) in which both public and private cloud computing resources are used.
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Taxonomy
TopicsCloud Data Security Solutions · Cryptography and Data Security · Security and Verification in Computing
