Multi-agent processing for query camouflage via data perturbation in online medical surveys

Abstract

As technology grows, so do the demands on information systems processing. Modern information systems need to handle diverse tasks that tend to be increasingly complex. Automation of processing by employing artificial intelligence techniques is an essential environment for ensuring the smooth running of information systems. In this paper, we investigate the application of multi-agent information systems for online medical surveys. In particular, our contribution is to extend our previous research results to a multi-agent technology for data perturbation as a means of camouflaging database query results. The decision on when to camouflage data is made by a system of collaborating intelligent agents. When a user query request is entered into the system, processing rules are applied to determine whether the result of the query needs to be camouflaged. © Springer-Verlag Berlin Heidelberg 2007.