Abstract
Today, organizations do not work in silos, but rather collaborate, work jointly and share data resources for various business benefits such as storage, management, analytics, etc. In this scenario, organizations want to ensure that their own security requirements are always met, even though they may be sharing/moving their resources to another organization. Hence, there is a need to evaluate the extent to which their policies are similar (or equivalent) i.e., to what extent do they both agree on a common set of security requirements (policy)? When the policies are not identical, there is also a need to evaluate the differences and see how these differences can be reconciled so that the organizations can be brought to agreement in terms of their security requirements.
To address this issue, in this paper, we first propose the notion of policy equivalence and develop methods to evaluate the policy similarity. We also propose two different approaches for accomplishing policy reconciliation where one is based on ABAC mining and the other is based on finding maximal common subsets. Both of the approaches guarantee that the organization’s policies are never violated as they are both conservative in nature. Further, it is also possible that the organizations in the collaboration decide to pick one organization and each of them migrates to the policy. We propose a migration approach for organizations in this setting which will incur least migration cost for all the organizations. We compare both the reconciliation approaches and policy migration with respect to their reconciliation results as well as performance.