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Protocols for Privacy-Preserving Scalable Record Matching and Ontology Alignment

Sponsor: National Science Foundation

Many application domains, such as intelligence, counter-terrorism, forensics, disease control, often need to cross-match multiple very large datasets, such as watch lists. Because those datasets may contain privacy-sensitive or confidential information, the use of efficient privacy-preserving protocols for cross-matching different datasets is crucial.more

A Comprehensive Approach for Data Quality and Provenance in Sensor Networks

Sponsor: National Science Foundation

Sensor networks enable real-time gathering of large amounts of data that can be mined and analyzed for taking critical actions. As such, sensor networks are a key component of decision-making infrastructures. A critical issue in this context is the trustworthiness of the data being collected.more

CAREER: An Integrated Approach For Efficient Privacy Preserving Distributed Data Analytics

Sponsor: National Science Foundation

Increasingly, different organizations need to securely share their private data to execute many critical tasks. Recently, several different approaches based on secure multi-party computation (SMC) and data sanitization techniques have emerged to enable privacy preserving distributed data analytics. Although SMC based privacy-preserving protocols allow the participating parties to learn only the final (accurate) result, they do not scale well for large amounts of data. On the other hand, sanitization based techniques allow organizations to reveal privacy sensitive data under some privacy guarantees by distorting the data. In many cases, significant data distortion that is needed to preserve privacy could lead toinaccurate results.more

CT-T: Collaborative Research: A Semantic Framework for Policy Specification and Enforcement in a Need to Share Environment

Sponsor: National Science Foundation

We live in the information age, a time when data and knowledge is plentiful and easily moved, processed and mined by machines. This makes it easier to discover knowledge and more efficiently manage our affairs but also increases concerns about information confidentiality, privacy and trust. Balancing these will be a defining challenge in the coming decades and is particularly urgent today in organizations responsible for national defense, law enforcement, emergency services, and public health and safety. The 9/11 Commission addressed this in their report and called for "a paradigm change from Need to Know to Need to Share". This project will explore one concrete aspect of this shift -- how executable policies can help organizations enhance their ability to share information and access while still maintaining appropriate levels of security, confidentiality and privacy.more

TWC: Medium: Collaborative Proposal: Policy Compliant Integration of Linked Data

Sponsor: National Science Foundation

The ubiquity of computing technology and the Internet have created an age of big data that has the potential to greatly enhance the efficiency of our societies and the well-being of all people. The trend comes with problems that threaten to prevent or undermine the benefits. An immediate concern is how to fuse, integrate and analyze data while respecting privacy, security and usage concerns. A second issue is allowing data to remain distributed, enabling its owners to maintain and control quality as well as to enforce security and privacy policies. A final underlying challenge is helping to produce sound and useful results by assuring that systems understand the meaning of the data being integrated and analyzing access and usage policies. For some domains, like health informatics and clinical research, solving these problems will have a significant impact on society.more


March 2012
UTD Anonymization Toolbox

A new version of the Toolbox is released. This version provides graphical user interface and application programming interface for researchers more.

December 2011
NSF Grant Funds Search for Ways to Ensure Data Authenticity

Researchers at UT Dallas are part of a $3 million collaborative grant from the NSF to study ways to ensure the authenticity and confidentiality of data more.

April 2011
Investment in Cloud Computing Research Pays Off

The decision three years ago by UT Dallas researchers to bolster their efforts in the field of cloud computing is paying dividends more.

August 2010
Grants Further Bolster Cybersecurity Research

Data security and privacy research at UT Dallas will get a significant boost thanks to two grants totaling almost $1 million from the National Science Foundation more.

August 2010
Team Releases Tools for Secure Cloud Computing

UT Dallas researchers have released software tools intended to help make cloud computing the standard way much computing is done more.

April 2010
Post-doctoral Research Position is Available

The University of Texas at Dallas Security and Privacy Lab has a recent opening for a postdoctoral fellow in data security and privacy more.

February 2010
UTD Anonymization Toolbox

Beta version of UTD Anomymization ToolBox is released. The toolbox currently contains 6 different anonymization methods over 3 different privacy definitions more.

December 2009
Privacy of Genomics Data

A new $1 million grant is intended to help ensure the privacy of each person whose information is included in increasingly vast banks of genomics data more.

October 2009
Social Network Privacy

Prof. Kantarcioglu Warns of Risks Hiding on Social Network Sites more.

March 2009
Advances in Data Safety

Dr. Thuraisingham's team includes UT Dallas professors Latifur Khan, Murat Kantarcioglu and Kevin Hamlen, each of whom is addressing a different aspect of the issue more.

March 2009
CyberSecurity Research

The nearly three-year-old Cybersecurity Research Center at the University of Texas at Dallas has topped $1 million in funding for projects intended to enhance the security of shared data in the post-9/11 world more.

January 2009

UT Dallas computer scientist Murat Kantarcioglu has received a $400000 award from the National Science Foundation Early Career Development Program more.


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