Improving data sharing in data rich environments
| Autor: | Erisa Karafili, Bill Williams, Saritha Arunkumar, Emil Lupu, Seraphin Calo, Alan Cullen |
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| Přispěvatelé: | Engineering & Physical Science Research Council (EPSRC), IBM United Kingdom Ltd |
| Rok vydání: | 2017 |
| Předmět: |
Information privacy
Technology Computer science data sharing Big data Access control 02 engineering and technology usage control Computer security computer.software_genre Electronic mail Computer Science Artificial Intelligence data access 0202 electrical engineering electronic engineering information engineering DSAs Dissemination Science & Technology Computer Science Information Systems business.industry 020206 networking & telecommunications drone systems Policy analysis Data sharing Data access military scenario Computer Science 020201 artificial intelligence & image processing business computer |
| Zdroj: | 1st IEEE Big Data International Workshop on Policy-based Autonomic Data Governance, IEEE BigData IEEE BigData |
| Popis: | The increasing use of big data comes along with the problem of ensuring correct and secure data access. There is a need to maximise the data dissemination whilst controlling their access. Depending on the type of users different qualities and parts of data are shared. We introduce an alteration mechanism, more precisely a restriction one, based on a policy analysis language. The alteration reflects the level of trust and relations the users have, and are represented as policies inside the data sharing agreements. These agreements are attached to the data and are enforced every time the data are accessed, used or shared. We show the use of our alteration mechanism with a military use case, where different parties are involved during the missions, and they have different relations of trust and partnership. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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