Secure Content Management In Ambient Environments- how about(2)

In order to strengthen the research on security and ambient intelligence, as well as the relationship between the content management and security work at Philips Research and at Twente University, a joint research project is set up. The work will be carrie

order to give people trust in ambient intelligence. For that reason, in this project weaddress the relationship between security and meta-data from two angles:1.How can meta-data be exploited for security purposes; especially for ambientaccess purposes?2.What if meta-data needs to be secured it self: especially how to handle securedmeta-data?

To address these two questions, two PhD research positions are defined.

Ambient Content AccessThis research will address the question of how to exploit meta-data for ambient accesspurposes. The focus will be on conditional access to audio and video content, based onthe associated meta-data. The access should be ambient, based on the context in whichthe content is accessed in combination with the user accessing the content. As anexample, consider the viewing of news items that contain shocking scenes. An adult mayaccess this content (i.e. watch it), however a child may not. Also one may not want anadult to watch it in a public environment, given that there may be children around. Theresearch will focus on content, context, and user profiling techniques that enable thedevelopment of ambient content access systems. The work should build on techniquesknown from data modeling for context and personalization, multi-media meta-datamodeling (especially audio and video meta-data), and theory around conditional accessand digital rights management systems.

Detailed research questions to answer include: Which audio and video experience scenarios could conceivably play a role inambient access patterns? What kind of meta-data is needed to support these scenarios? Which parts of the meta-data are sensitive and thus relevant for security andprivacy? What kind of language (e.g. LicenseScript?) would be appropriate to describeambient access patterns? What kind of language (e.g. MPEG-7?) would be appropriate to describe meta-data? What kind of languages would be appropriate to describe context information? How can access pattern descriptions be linked to meta-data descriptions?

The above research questions will have to be complemented by some more systemoriented research. This starts from a global picture described in Figure 1.