Robert Nix, Murat Kantarcioglu, “Incentive Compatible Distributed Data Mining”, IEEE International Conference on Privacy, Security, Risk and Trust, 2010, (Best paper award) (pdf version) 2010 - Publication
Elizabeth A. Durham, Yuan Xu, Murat Kantarcioglu, Bradley Malin, “Private Medical Record Linkage with Approximate Matching”, American Medical Informatics Association Annual Symposium 2010 (Best Student paper award). (pdf version) 2010 - Publication
Ali Inan, Murat Kantarcioglu, Gabriel Ghinita, Elisa Bertino, “Private record matching using differential privacy”, EDBT 2010, 123-134 2010 - Publication
Kevin Hamlen, Murat Kantarcioglu, Latifur Khan, Bhavani Thuraisingham, "Security Issues for Cloud Computing", International Journal on Information Security and Privacy, Vol 4, No. 2, pp 36-48 (2010) 2010 - Publication
Mohammad Farhan Husain, Latifur Khan, Murat Kantarcioglu and Bhavani Thuraisingham, “Data Intensive Query Processing for Large RDF Graphs Using Cloud Computing Tools”, IEEE International Conference on Cloud Computing 2010 (pdf version) 2010 - Publication
Barbara Carminati, Elena Ferrari and Murat Kantarcioglu, Bhavani Thuraisingham, “Privacy Issues in Online Social Networks”, Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques, F. Bonchi and E. Ferrari, eds., Chapman & Hall/CRC Data Mining and Knowledge Discovery Series, 2010 2010 - Publication
Sunitha Ramanujam, Vaibhav Khadilkar, Latifur Khan, Steven Seida, Murat Kantarcioglu and Bhavani Thuraisingham, "Bi-directional Translation of Relational Data into Virtual RDF Stores", International Conference on Semantic Computing 2010 (pdf version) 2010 - Publication
Tyrone Cadenhead, Murat Kantarcioglu, and Bhavani Thuraisingham, “Scalable and Efficient Reasoning for Enforcing Role-Based Access Control”, IFIP WG 11.3 Conference on Database and Applications Security, 2010 (pdf version) 2010 - Publication
Sunitha Ramanujam, Vaibhav Khadilkar, Latifur Khan, Murat Kantarcioglu, Bhavani M. Thuraisingham, Steven Seida, "Update-Enabled Triplification of Relational Data into Virtual RDF Stores", Int. J. Semantic Computing 4(4): 423-451 (2010) 2010 - Publication
Bradley Malin, Christopher Cassa, and Murat Kantarcioglu, “A Survey of Challenges and Solutions for Privacy in Clinical Genomics Data Mining”, Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques, F. Bonchi and E. Ferrari, eds., Chapman & Hall/CRC Data Mining and Knowledge Discovery Series, 2010 2010 - Publication
Privacy-Preserving Distributed K-nn Classifier
2004–2004 Privacy-Preserving Distributed K-nn Classifier, European Conf. on Principles of Data Mining and Knowledge Discovery (PKDD '04) 2004.
Privacy-preserving Distributed Data Mining
2005–2005 Privacy-preserving Distributed Data Mining, at the State University of New York at Buffalo, March, 2005
Privacy-preserving data integration and sharing
2004–2004 Privacy-preserving data integration and sharing, The ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge (DMKD'2004) 2004.
2006–2006 Adversarial Learning at Rutgers University, March, 2006
The data that can be easily extracted from people’s online social networking activities could be either a blessing or a curse, says a UT Dallas researcher. On the one hand, an analysis of people’s interactions could improve public policy, helping city planners, for example, determine optimal locations for public health clinics. But on the other hand, you could have your identity stolen and your savings account wiped out after sharing seemingly innocuous details about yourself. These are the sorts of things Dr. Murat Kantarcioglu is exploring. In the early stages of his research, he’s asking questions such as whether details of your Facebook user profile and friendship links can be used to accurately predict your political affiliation. (Yes, according to his results.) Another question is whether a prospective employer could use your information to try to predict whether you would make a good employee.
UT Dallas computer scientist Murat Kantarcioglu has received a $400,000 award from the National Science Foundation Early Career Development Program, which is a highly selective program for junior faculty who are considered likely to become leaders in their field. The award will fund a five-year effort to develop privacy-preserving technologies that could open the door to the widespread use of e-health and e-government applications. “The CAREER program is one of the most competitive programs at NSF, and Murat’s award is a recognition of the excellence of his research and his potential to become a top national researcher,” said Mark Spong, dean of the Erik Jonsson School of Engineering and Computer Science and holder of the Lars Magnus Ericsson Chair in Electrical Engineering.
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, according to a UT Dallas computer scientist. The greatest potential for genomics-related medical advances lies in analyzing enormous combined stores of genomics data that may have originated from dozens of institutions and research studies, according to Dr. Murat Kantarcioglu, an assistant professor of computer science at UT Dallas. Such work could ultimately enable health care to be personalized to each patient’s genome. “But the availability of such databanks for widespread use is contingent on protecting the anonymity of the individuals who correspond to the shared records,” said Kantarcioglu, co-investigator on the project based at Vanderbilt University. “Though policy and technical approaches for biomedical records privacy exist, they are inappropriate for environments that consolidate records from multiple organizations.”
Security efforts to combat hackers usually focus on one method of attack, but computer scientists at UT Dallas have developed a strategy more effective at tackling various types of attacks.
Dr. Murat Kantarcioglu
, professor of computer science in the Erik Jonsson School of Engineering and Computer Science
and director of the Data Security and Privacy Lab
, and research scientist Dr. Yan Zhou have created a data-mining model that can identify various adversaries, or hackers.
Dr. Murat Kantarcioglu
, a professor of computer science in the Erik Jonsson School of Engineering and Computer Science
, recently received the Technical Achievement Award in Intelligence and Security Informatics (ISI) from the Institute of Electrical and Electronics Engineers (IEEE).
The award, announced at the recent IEEE ISI 2017 conference
in Beijing, recognized Kantarcioglu’s outstanding research contributions to data security and privacy. A previous NSF CAREER Award winner, Kantarcioglu directs UT Dallas’ Data Security and Privacy Lab
. His research focuses on efficiently extracting information from big data without sacrificing privacy or security.