QoIA-Aware Attack Resilient Database Systems

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This project will build a QoIA-aware attack resistant databasesystem framework, call Linba. The trustworthiness of a computingsystem in delivering valid services in face of attacks hasbecome a more critical concern than ever as people are experiencingincreased cyber security threats. A Quality of InformationAssurance (QoIA) service is a service associated with a specific levelof trustworthiness. From the viewpoint of end users, the goal of trustedcomputing is to enable people to get the QoIA services that theyhave subscribed for even in face of attacks. However, (most) existingtrusted systems cannot deliver QoIA services since they have very limitedability in providing (sustained) quantitative trustworthiness guarantees.The objective of this research is to build a new trusted computinginfrastructure that is able to continue delivering QoIA servicesin face of attacks and cost constraints. Based on a novel formal(service) trustworthiness model, Linbadelivers multilevel, differential, quantitative QoIA servicesthrough near optimal neuro-fuzzy composite QoIA adaptations whereLinba intelligently adapts itself to environment changes andQoIA-cost tradeoffs are done in an optimized way. Successfuldevelopment of Linba will arm existing trusted database systemswith the ability to deliver QoIA services (in a cost-effectiveway) and provide very valuable hints on developing a variety of othertypes of trusted computing systems that can deliver QoIA services.The cost-effectiveness of Linba will be evaluated throughsimulation or prototyping.