Biblio

Cloud computing is one of the happening technologies in these years and gives scope to lot of research ideas. Banks are likely to enter the cloud computing field because of abundant advantages offered by cloud like reduced IT costs, pay-per-use modeling, and business agility and green IT. Main challenges to be addressed while moving bank to cloud are security breach, governance, and Service Level Agreements (SLA). Banks should not give prospect for security breaches at any cost. Access control and authorization are vivacious solutions to security risks. Thus we are proposing a knowledge based security model addressing the present issue. Separate ontologies for subject, object, and action elements are created and an authorization rule is framed by considering the inter linkage between those elements to ensure data security with restricted access. Moreover banks are now using Software as a Service (SaaS), which is managed by Cloud Service Providers (CSPs). Banks rely upon the security measures provided by CSPs. If CSPs follow traditional security model, then the data security will be a big question. Our work facilitates the bank to pose some security measures on their side along with the security provided by the CSPs. Banks can add and delete rules according to their needs and can have control over the data in addition to CSPs. We also showed the performance analysis of our model and proved that our model provides secure access to bank data.