HPPC-Hierarchical Petri-Net Based Privacy Nominal Model Approach for Cloud

This paper focusing on the data collected ubiquitously and conserved by cloud providers are assured that, the clients and users can assess that information globally as per their versatility, where as the cloud providers should gave some limited transparency policy to maintain client's secrecy. Usually the private data collected by the service providers can be shared with in their other platforms. Highest risk of data exposure occurs for cloud providers due to the breach of client's secrecy. In cloud architecture privacy policies and its standards is one of the main issues of cloud computing. Many researchers have been vigorously working in these issues. We studied these researchers work, frontward us to propose HPBP (Hierarchical Petri-net based Privacy nominal model for Cloud) architecture. Our proposed model facilitates clients, to have an augment trust on cloud providers as a pledge to maintain their high secrecy. The privacy of the proposed technique is analyzed briefly.