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Award Abstract #0831178

Collaborative Research: CT-M: Privacy, compliance and information risk in complex organizational processes

NSF Org: CNS
Division of Computer and Network Systems
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Initial Amendment Date: August 15, 2008
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Latest Amendment Date: July 14, 2011
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Award Number: 0831178
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Award Instrument: Continuing grant
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Program Manager: Jeremy Epstein
CNS Division of Computer and Network Systems
CSE Directorate for Computer & Information Science & Engineering
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Start Date: September 1, 2008
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End Date: August 31, 2012 (Estimated)
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Awarded Amount to Date: $250,000.00
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Investigator(s): Anupam Datta danupam@andrew.cmu.edu (Principal Investigator)
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Sponsor: Carnegie-Mellon University
5000 Forbes Avenue
PITTSBURGH, PA 15213-3815 (412)268-9527
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NSF Program(s): CYBER TRUST,
TRUSTWORTHY COMPUTING
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Program Reference Code(s): 9218, HPCC
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Program Element Code(s): 7371, 7795

ABSTRACT

Modern organizations, such as businesses, non-profits, government

agencies, and universities, collect and use personal information from

a range of sources, shared with specific expectations about how it

will be managed and used. Accordingly, they must find ways to comply

with expectations, which may be complex and varied, as well as with

relevant privacy laws and regulations, while they minimize

operational risk and carry out core functions of the organization

efficiently and effectively. Designing organizational processes to

manage personal information is one of the greatest challenges facing

organizations (see, e.g. a recent survey by Deloitte and the Ponemon

Institute [TI07]), with far-reaching implications for every

individual whose personal information is available to modern

organizations, i.e. all of us.

This project responds to these challenges by developing methods,

algorithms and prototype tools for integrating privacy, compliance,

and risk evaluation into complex organizational processes. It

explores, articulates and characterizes formally the scope and nature

of privacy-expectations of stakeholders as well as those of key

regulations, such as HIPAA, GLBA, COPPA, BASEL 2, and Sarbanes-Oxley

(SOX). It incorporates the diverse perspectives and areas of

expertise of its multidisciplinary research team, which includes

three computer scientists, one philosopher, and collaborating

researchers from IBM. This industry connection facilitates

interaction with product teams that have served complex organizations

concerned with business process integrity, information security,

privacy, and information risk management. The research builds on

"contextual integrity" (a philosophical account of privacy) as well

as language and risk-based methods for privacy policy specification

and enforcement. Extensive training and educational opportunities are

provided to undergraduate and graduate students and research results

integrated into courses at CMU, NYU, Stanford, and UPenn.

BOOKS/ONE TIME PROCEEDING

Michael Tschantz, Anupam Datta, Dilsun Kaynar. "Differential Privacy for Probabilistic Systems", 09/01/2008-08/31/2009,  2009, "Carnegie Mellon CyLab Technical Report No. CMU-CyLab-09-008, May 2009".

Michael Tschantz, Anupam Datta, Dilsun Kaynar. "Differential Privacy for Probabilistic Systems", 09/01/2009-08/31/2010,  2009, "Carnegie Mellon CyLab Technical Report No. CMU-CyLab-09-008, May 2009".

Michael Tschantz, Dilsun Kaynar, Anupam Datta. "Formal Verification of Differential Privacy for Interactive
Systems", 09/01/2010-08/31/2011, "Proceedings of the 27th Annual Conference on Mathematical
Foundations of Programming Semantics"
,  2011, "Electronic Notes in Theoretical Computer Science".

H. DeYoung, D. Garg, L. Jia, D.
Kaynar, A. Datta. "Experiences in the Logical
Specification of the HIPAA and
GLBA Privacy Laws", 09/01/2010-08/31/2011, "Proceedings of 9th ACM Workshop
on Privacy in the Electronic
Society"
,  2010, "ACM Press".

J. Blocki, N. Christin, A.
Datta, A. Sinha. "Regret Minimizing Audits: A
Learning-Theoretic Basis for
Privacy Protection", 09/01/2010-08/31/2011, "Proceedings of 24th IEEE Computer Security Foundations
Symposium"
,  2011, "IEEE Press".

 

Please report errors in award information by writing to: awardsearch@nsf.gov.

 

 

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