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Along with the classical problem of managing multiple identities, actions,devices, APIs etc. in different businesses, there has been an escalating needfor having the capability of flexible attribute based access control~(ABAC)mechanisms. In order to fill this gap, several variations of ABAC model havebeen proposed such as \textit{Amazon's AWS IAM}, which uses JSON as theirunderlying storage data structure and adds policies/constraints as fields overthe regular ABAC. However, these systems still do not provide the capability tohave customized permissions and to perform various operations (such ascomparison/aggregation) on them. In this paper, we introduce a string basedresource naming strategy that supports the customized and conditionalpermissions for resource access. Further, we propose the basic architecture ofour system which, along with our naming scheme, makes the system scalable,secure, efficient, flexible and customizable. Finally, we present the proof ofconcept for our algorithm as well as the experimental set up and the futuretrajectory for this work.

A Scalable Permission Management System With Support of Conditional and Customized Attributes