1. Assured Information Sharing Lifecycle A Framework for Managing the Assured Information Sharing Lifecycle Tim Finin Joint MURI Meeting 12 September 2008

2. 9/12/08 2 AISL MURI project University of Maryland, Baltimore County (Lead Inst.) T. Finin (Lead), A. Joshi, H. Kargupta, A. Sherman, Y. Yesha Purdue University E. Bertino (Lead), N. Li, C. Clifton, E. Spafford University of Texas at Dallas B. Thuraisingham (Lead), M. Kantarcioglu, L. Khan, A. Bensoussan, N. Berg University of Illinois at Urbana Champaign J. Han (Lead), C. Zhai University of Texas at San Antonio R. Sandhu (Lead), J. Massaro, S. Xu University of Michigan L. Adamic (Lead)

3. 9/12/08 3 Pelude Our approach recognizes that there is a lifecycle to assured information sharing that includes information –discovery and advertising –acquisition, release and integration –usage and control These phases realize an information sharing value chain with a network of producers and consumers

4. 9/12/08 4 Information value chain

5. 9/12/08 5 Information value chain Potentially, everyone is both an information consumer and producer

6. 9/12/08 6 Information value chain A system discovers information it can use from the advertisements of others

7. 9/12/08 7 Information value chain The two negotiate a policy for the information’s acquisition and use

8. 9/12/08 8 Information value chain The information is used, often resulting in the discovery of new knowledge

9. 9/12/08 9 Information value chain which is screened, adapted and summarized for possible release

10. 9/12/08 10 Information value chain and appropriately characterized in advertisements for others to find

11. 9/12/08 11 An Information Ecology

12. 9/12/08 12 The Story, in Five Acts Act 1: Policy Management with Bertino, Sandhu and Joshi Act 2: Information Management with Han, Kargupta and Clifton Intermission Act 3: Social Management with Adamic and Kantarcioglu Act 4: Knowledge Management with Joshi Act 5 (Dénouement): Evaluation with Thuraisingham

13. 9/12/08 13 Coming Attractions: posters & demos Plausibly Deniable Search Conforming to Truth with Multiple Conflicting Information Providers on the Web Privacy-preserving Data Mining within Anonymous Credential Systems On the Cryptographic Utilities of Social Networks User-Centered Adaptive Information Retrieval Novel Class Detection in Concept-Drifting Data Streams in a Shared Environment iConnect: privacy policies for mobile MyUmbc Scantegrity II: End-to-end verifiability for optical scan election systems Expertise Networks: structure and algorithms CommunityNet Simulator: modeling expertise exchange and identification EXAM: an Environment for XACML Policy Analysis and Management Privacy Preserving Distributed Data Mining: A Game-Theoretic Approach

14. 9/12/08 14 Postscript An information value chain of producers/consumers yields an assured information sharing lifecycle New, expressive policy languages will better support the variety of needs of diverse applications integration and discoveryNew integration and discovery techniques are required to assure information quality and privacy social net- worksModeling, exploiting and protecting social net- works promotes information diffusion and security Incentives for information sharing are required Using Using shared semantic models via RDF and OWL increases assurance