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 |
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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 |
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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