QoIA-Aware Attack Resilient Database Systems

This project will build a QoIA-aware attack resistant database

system framework, call Linba. The trustworthiness of a computing

system in delivering valid services in face of attacks has

become a more critical concern than ever as people are experiencing

increased cyber security threats. A Quality of Information

Assurance (QoIA) service is a service associated with a specific level

of trustworthiness. From the viewpoint of end users, the goal of trusted

computing is to enable people to get the QoIA services that they

have subscribed for even in face of attacks. However, (most) existing

trusted systems cannot deliver QoIA services since they have very limited

ability in providing (sustained) quantitative trustworthiness guarantees.

The objective of this research is to build a new trusted computing

infrastructure that is able to continue delivering QoIA services

in face of attacks and cost constraints. Based on a novel formal

(service) trustworthiness model, Linba

delivers multilevel, differential, quantitative QoIA services

through near optimal neuro-fuzzy composite QoIA adaptations where

Linba intelligently adapts itself to environment changes and

QoIA-cost tradeoffs are done in an optimized way. Successful

development of Linba will arm existing trusted database systems

with the ability to deliver QoIA services (in a cost-effective

way) and provide very valuable hints on developing a variety of other

types of trusted computing systems that can deliver QoIA services.

The cost-effectiveness of Linba will be evaluated through

simulation or prototyping.