As the cloud computing paradigm evolves, new\ntypes of cloud-based services have become available, including\nsecurity services. Some of the most important and most\ncommonly adopted security services are firewall services.\nThese cannot be easily deployed in a cloud, however, because\nof a lack of mechanisms preserving firewall policy confidentiality.\nEven if they were provided, the customer traffic\nflowing through the Cloud Service Provider infrastructure\nwould still be exposed to eavesdropping and information\ngaining by performing analysis. To bypass these issues, the\nfollowing article introduces a novel framework, known as\nthe Ladon Hybrid Cloud, for preserving cloud-based firewall\npolicy confidentiality. It is shown that in this framework,\na high level of privacy is provided thanks to leveraging an\nanonymized firewall approach and a hybrid cloud model. A\nnumber of optimization techniques, which help to further\nimprove the Ladon Hybrid Cloud privacy level, are also introduced.\nFinally, analysis performed on the framework shows\nthat it is possible to find a trade-off between the Ladon Hybrid\nCloud privacy level, its congestion probability, and efficiency.\nThis argument has been demonstrated through the results of\nconducted experiments.
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