An architecture for trustworthy open data services


Autoria(s): Wong, Andrew; Liu, Vicky; Caelli, William; Sahama, Tony R.
Contribuinte(s)

Damsgaard, J.C.

Marsh, S.

Dimitrakos, T.

Murayama, Y.

Data(s)

14/06/2015

Resumo

This paper addresses the development of trust in the use of Open Data through incorporation of appropriate authentication and integrity parameters for use by end user Open Data application developers in an architecture for trustworthy Open Data Services. The advantages of this architecture scheme is that it is far more scalable, not another certificate-based hierarchy that has problems with certificate revocation management. With the use of a Public File, if the key is compromised: it is a simple matter of the single responsible entity replacing the key pair with a new one and re-performing the data file signing process. Under this proposed architecture, the the Open Data environment does not interfere with the internal security schemes that might be employed by the entity. However, this architecture incorporates, when needed, parameters from the entity, e.g. person who authorized publishing as Open Data, at the time that datasets are created/added.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/82702/

Publicador

Springer International Publishing

Relação

http://eprints.qut.edu.au/82702/1/A%20Trustworthy%20Architecture%20for%20Open%20Data%20Services%20%28Submission%29.pdf

DOI:10.1007/978-3-319-18491-3_11

Wong, Andrew, Liu, Vicky, Caelli, William, & Sahama, Tony R. (2015) An architecture for trustworthy open data services. In Damsgaard, J.C., Marsh, S., Dimitrakos, T., & Murayama, Y. (Eds.) Trust Management IX: 9th IFIP WG 11.11 International Conference, IFIPTM 2015, Proceedings [IFIP Advances in Information and Communication Technology, Volume 454], Springer International Publishing, Hamburg, Germany, pp. 149-162.

Direitos

Copyright 2015 IFIP International Federation for Information Processing

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #Open Data #Integrity #REST #Security #Public File
Tipo

Conference Paper