Title :
TrustEd: A Dual-Database Trusted Broker for Multi-agency Data
Author :
Gibson, Neal ; Holland, Greg
Author_Institution :
Arkansas Res. Center, Conway, AR, USA
Abstract :
A longitudinal database system is outlined, which allows for the joining of data between disparate systems and government agencies. The goal of the system is to allow for the sharing of data between agencies while maintaining strict compliance of rules and regulations protecting individual privacy and confidentiality. The ability to link records over time is central to such a system, so a knowledgebase approach to entity resolution is described along with how this system that integrates longitudinal data from multiple sources can still protect individual privacy and confidentiality. Central to this protection is that personally identifiable information should not be proliferated on multiple systems. The system, Trusted, is a hybrid model which provides the simplicity of a centralized model with the privacy protection of a federated model.
Keywords :
data privacy; government data processing; knowledge based systems; multi-agent systems; trusted computing; TrustEd; disparate systems; dual-database trusted broker; entity resolution; federated model; government agencies; individual confidentiality; individual privacy; knowledgebase approach; longitudinal database system; multiagency data; privacy protection; Data models; Data privacy; Data systems; Databases; Educational institutions; Encryption; Confidentiality; Data Sharing; Identity Management; Privacy; Trusted Systems;
Conference_Titel :
Social Computing (SocialCom), 2013 International Conference on
Conference_Location :
Alexandria, VA
DOI :
10.1109/SocialCom.2013.160