DocumentCode
2625267
Title
TrustEd: A Dual-Database Trusted Broker for Multi-agency Data
Author
Gibson, Neal ; Holland, Greg
Author_Institution
Arkansas Res. Center, Conway, AR, USA
fYear
2013
fDate
8-14 Sept. 2013
Firstpage
999
Lastpage
1004
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Social Computing (SocialCom), 2013 International Conference on
Conference_Location
Alexandria, VA
Type
conf
DOI
10.1109/SocialCom.2013.160
Filename
6693457
Link To Document