Name
Abstract | ||
|---|---|---|
The proliferation of sensing devices create plethora of data-streams, which in turn can be harnessed to carry out sophisticated analytics to support various real-time applications and services as well as long-term planning, e.g., in the context of intelligent cities or smart homes to name a few prominent ones. A mature cloud infrastructure brings such a vision closer to reality than ever before. However, we believe that the ability for data-owners to flexibly and easily to control the granularity at which they share their data with other entities is very important - in making data owners feel comfortable to share to start with, and also to leverage on such fine-grained control to realize different business models or logics. In this paper, we explore some basic operations to flexibly control the access on a data stream and propose a framework eXACML+ that extends OASIS's XACML model to achieve the same. We develop a prototype using the commercial StreamBase engine to demonstrate a seamless combination of stream data processing with (a small but important selected set of) fine-grained access control mechanisms, and study the framework's efficacy based on experiments in cloud like environments. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-32873-2_5 | Secure Data Management |
DocType | Volume | Citations |
Journal | abs/1205.6349 | 2 |
PageRank | References | Authors |
0.37 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenqiang Wang | 1 | 44 | 4.09 |
| Tien Tuan Anh Dinh | 2 | 212 | 19.13 |
| Hock-Beng Lim | 3 | 61 | 8.55 |
| Anwitaman Datta | 4 | 2183 | 130.88 |