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UMBC AN HONORS UNIVERSITY IN MARYLAND A Framework for Managing the Assured Information Sharing Lifecycle Overview 18 September 2009 use acquir e discove.

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Presentation on theme: "UMBC AN HONORS UNIVERSITY IN MARYLAND A Framework for Managing the Assured Information Sharing Lifecycle Overview 18 September 2009 use acquir e discove."— Presentation transcript:

1 UMBC AN HONORS UNIVERSITY IN MARYLAND A Framework for Managing the Assured Information Sharing Lifecycle Overview 18 September 2009 use acquir e discove r

2 UMBC AN HONORS UNIVERSITY IN MARYLAND 2008 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 UMBC AN HONORS UNIVERSITY IN MARYLAND Our research themes An information value chain of producers & con- sumers yields an assured information sharing lifecycle PoliciesPolicies for trust, access and use grounded in sharable semantic models operating in a service oriented architecture accelerate sharing integration and discoveryNew integration and discovery techniques are required to assure information quality and privacy social networksModeling, analyzing and exploiting social networks and incentives for sharing

4 UMBC AN HONORS UNIVERSITY IN MARYLAND Papers, dissertations and theses Over 60 refereed papers published/accepted and available at http://aisl.umbc.edu/ Three PhDs completed –Deng Cai, Ph.D., Illinois, Spectral regression: a regression framework for efficient regularized subspace learning, May 2009 –Xiaolin Shi, Ph.D., Michigan, The Structure and Dynamics of Information Sharing Networks, June 2009 –Kamalika Das, Ph.D., UMBC, Game-theoretic approach toward privacy preserving distributed data mining, September 2009 Two MS degrees completed –Kishor Datar, M.S., UMBC, Reverse Engineering of RBAC Policy using Access Logs, June 2009 –Audumbar Chormale, M.S., UMBC, Policies based framework to constrain information flow in social networks, August 2009

5 UMBC AN HONORS UNIVERSITY IN MARYLAND Some Other Highlights Lada Adamic (Mich) co-authored paper in Science: Compu- tational Social Science (2009) Jiawei Han (Illinois) elected IEEE Fellow (2008) Ravi Sandhu (UTSA) elected AAAS Fellow (2008); received ACM SIG on Security, Audit & Control Outstanding Contribu- tions Award (2008) Tim Finin (UMBC) IEEE Technical Achievement Award (2009) Bhavani Thuraisingham (UTD) chaired 2009 IEEE Intelligence and Security Informatics Conf. ChengXiang Zhai (UIUC) co-chaired ACM SIGIR 2009 Hillol Kargupta co-chairs 2009 IEEE Data Mining Conf., chairs NFS Next Generation Data Mining Summit (Oct 2009) Tim Finin (UMBC) chaired 2008 Int. Semantic Web Conf.

6 UMBC AN HONORS UNIVERSITY IN MARYLAND Today’s presentations 08:50 Policy Trustworthiness-centric information sharing (Sandhu) Access control policy comparison (Ninghui) OWL policies for information sharing in geosocial networks (Joshi) 10:00 Break 10:30 Data Quality Summarization of Contradictory Opinions (Zhai) Truth Finding and Veracity Analysis (Han) 11:00 Privacy Disclosure-free Discovery of Related Documents (Clifton) Mechanisms for distributed privacy-preserving data mining (Das) 11:30 Social aspects Information sharing in social media (Xiao) Incentive compatible mechanisms for distributed datamining (Kantarcioglu) 12:00 Demonstrations Secure RESTful Web services in Blackbook (Kantarcioglu) Secure federated queries using ontology alignment in Blackbook (Kahn) 12:20 Discussion 12:45 Adjourn

7 UMBC AN HONORS UNIVERSITY IN MARYLAND http://aisl.umbc.edu/

8 UMBC AN HONORS UNIVERSITY IN MARYLAND Information value chain advertizediscoveracquireuserelease Potentially, everyone is both an information consumer and producer

9 UMBC AN HONORS UNIVERSITY IN MARYLAND Our AISL research areas We’ve organized our research into four major areas New policy models, languages and tools Datamining, data quality and privacy preserving systems Social networks and incentives AIS service/agent oriented infrastructure And will evaluate our work in several integrated applications in the out years


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