Towards a privacy-aware stream data management system for cloud applications
by Wee Siong Ng; Markus Kirchberg; Stephane Bressan; Kian-Lee Tan
International Journal of Web and Grid Services (IJWGS), Vol. 7, No. 3, 2011

Abstract: The rapidly increasing number of sensors and devices as well as the coming of age of cloud computing are fuelling the need for real-time stream data management tools. In a world that is highly submerged in data, data analytics and higher forms of data exploitation are fundamental to most decision making processes. However, enabling such technology requires several factors related to security, privacy, performance and costing to be addressed. In this paper, we discuss the various challenges in greater detail and propose our vision of a Privacy-aware Data Stream Cloud architecture that enables secure, privacy-preserving data analytics services.

Online publication date: Fri, 17-Apr-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Web and Grid Services (IJWGS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com