Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The connectivity of devices, machines and people via Cloud infrastructure can support collaborations among doctors and specialists from different medical organisations. Such collaborations may lead to data sharing and joint tasks and activities. Hence, the collaborating organisations are responsible for managing and protecting data they share. Therefore, they should define a set of access control policies regulating the exchange of data they own. Hover, existing Cloud services do not offer tools to analyse these policies. ,  propose a Cloud Policy Verification Service (CPVS) for the analysis and the verification of access control policies specified using XACML. The analysis process detects anomalies at two policy levels: a) intra-policy: detects discrepancies beten rules within a single security policy (conflicting rules and redundancies), and b) inter-policies: detects anomalies beten several security policies such as inconsistency and similarity. The verification process consists in verifying the completeness property which guarantees that each access request is either accepted or denied by the access control policy. In order to demonstrate the efficiency of our method,  also provide the time and space complexities. Finally,  present the implementation of our method and demonstrate how efficiently our approach can detect policy anomalies.
['Meryeme Ayache', 'Mohammed Erradi', 'Ahmed Khoumsi', 'Bernd Freisleben']
I am writing a research paper on a idea Analysis and Verification of XACML Policies in a Medical Cloud Environment
[{"from": "human", "value": "I am writing a research paper on a idea Analysis and Verification of XACML Policies in a Medical Cloud Environment"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The connectivity of devices, machines and people via Cloud infrastructure can support collaborations among doctors and specialists from different medical organisations. Such collaborations may lead to data sharing and joint tasks and activities. Hence, the collaborating organisations are responsible for managing and protecting data they share. Therefore, they should define a set of access control policies regulating the exchange of data they own. Hover, existing Cloud services do not offer tools to analyse these policies. ,  propose a Cloud Policy Verification Service (CPVS) for the analysis and the verification of access control policies specified using XACML. The analysis process detects anomalies at two policy levels: a) intra-policy: detects discrepancies beten rules within a single security policy (conflicting rules and redundancies), and b) inter-policies: detects anomalies beten several security policies such as inconsistency and similarity. The verification process consists in verifying the completeness property which guarantees that each access request is either accepted or denied by the access control policy. In order to demonstrate the efficiency of our method,  also provide the time and space complexities. Finally,  present the implementation of our method and demonstrate how efficiently our approach can detect policy anomalies."}]