Abstract
Catering for the runtime security of users and their assets (e.g. files, accounts, etc.) in service oriented environments is a challenging problem. We motivate the need for an adaptive framework that selects online services according to the runtime security requirements and cost constraints of assets. We report on a market-inspired approach (i.e. reversed Posted-Offer auction) that satisfies multiple, heterogeneous requests for online services in environments with shared and scarce resources. The solution is tested on the specific area of Cloud storage services.
| Original language | English |
|---|---|
| Title of host publication | 2016 IEEE International Congress on Big Data (BigData Congress) |
| Editors | Calton Pu, Geoffrey Fox, Ernesto Damiani |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 327-332 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509026227 |
| ISBN (Print) | 9781509026234 (PoD) |
| DOIs | |
| Publication status | Published - 6 Oct 2016 |
| Event | 5th IEEE International Congress on Big Data, BigData Congress 2016 - San Francisco, United States Duration: 27 Jun 2016 → 2 Jul 2016 |
Conference
| Conference | 5th IEEE International Congress on Big Data, BigData Congress 2016 |
|---|---|
| Country/Territory | United States |
| City | San Francisco |
| Period | 27/06/16 → 2/07/16 |
Keywords
- security
- service selection
- market-inspired methodology
- asset-centric
ASJC Scopus subject areas
- Information Systems
- Computer Science Applications
- Information Systems and Management
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