Data leakage free ABAC policy construction in multi-cloud collaboration

JC John, A Gupta, S Sural - 2022 IEEE 15th International …, 2022 - ieeexplore.ieee.org
JC John, A Gupta, S Sural
2022 IEEE 15th International Conference on Cloud Computing (CLOUD), 2022ieeexplore.ieee.org
With an increase in the diversity and complexity of requirements from organizations for cloud
computing, there is a growing need for integrating the services of multiple cloud providers. In
such multi-cloud systems, data leakage is considered to be a major security concern, which
is caused by illegitimate actions of malicious users often acting in collusion. The possibility
of data leakage in such environments is characterized by the number of interoperations as
well as the trustworthiness of users on the collaborating clouds. In this paper, we address …
With an increase in the diversity and complexity of requirements from organizations for cloud computing, there is a growing need for integrating the services of multiple cloud providers. In such multi-cloud systems, data leakage is considered to be a major security concern, which is caused by illegitimate actions of malicious users often acting in collusion. The possibility of data leakage in such environments is characterized by the number of interoperations as well as the trustworthiness of users on the collaborating clouds. In this paper, we address the problem of secure multi-cloud collaboration from an Attribute-based Access Control (ABAC) policy management perspective. In particular, we define a problem that aims to formulate ABAC policy rules for establishing a high degree of inter-cloud accesses while eliminating potential paths for data leakage. A data leakage free ABAC policy generation algorithm is proposed that first determines the likelihood of data leakage and then attempts to maximize inter-cloud collaborations. Experimental results on several large data sets show the efficacy of the proposed approach.
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