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

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3 Author(s)
Squicciarini, A.C. ; Coll. of Inf. Sci. & Technol., Pennsylvania State Univ., University Park, PA, USA ; Petracca, G. ; Bertino, E.

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.

Published in:

Network and service management (cnsm), 2012 8th international conference and 2012 workshop on systems virtualiztion management (svm)

Date of Conference:

22-26 Oct. 2012