Adaptive data management for self-protecting objects in cloud computing systems

Anna Cinzia Squicciarini, Giuseppe Petracca, Elisa Bertino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

While Cloud data services are a growing successful business and computing paradigm, data privacy and security are major concerns. One critical problem is to ensure that data owners' policies are honored, regardless of where the data is physically stored and how often it is accessed, and modified. This scenario calls for an important requirement to be satisfied. Data should be managed in accordance to owners' preferences, Cloud providers service agreements, and the local regulations that may apply. In this work we propose innovative policy enforcement techniques for adaptive sharing of users' outsourced data. We introduce the notion of autonomous security-aware objects, that by means of object-oriented programming techniques, encapsulate sensitive resources and assure their protection. Our evaluation demonstrates that our approach is effective.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 8th International Conference on Network and Service Management, CNSM 2012
Pages140-144
Number of pages5
StatePublished - Dec 1 2012
Event2012 8th International Conference on Network and Service Management, CNSM 2012 - Las Vegas, NV, United States
Duration: Oct 22 2012Oct 26 2012

Publication series

NameProceedings of the 2012 8th International Conference on Network and Service Management, CNSM 2012

Other

Other2012 8th International Conference on Network and Service Management, CNSM 2012
CountryUnited States
CityLas Vegas, NV
Period10/22/1210/26/12

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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