engleski

Security Risk Optimization for Multi-cloud Applications

Security proved to be a major concern when organizations outsource their data storage and processing. Encryption schemes do not provide solutions as they disable data processing in the cloud. Researchers have used constraint-based data fragmentation to increase security while maintaining availability. We build on this approach by applying fragmentation to the application logic in addition to the data in the database and propose a model for security risk assessment in a multi-cloud environment. By applying a multi-objective optimization algorithm to the proposed model, we determine pareto-optimal distributions of application and data fragments to the available cloud providers.

cloud computing ; multi-cloud applications ; risk assessment ; security optimization ; multi-objective optimization

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