CERIAS - Center for Education and Research in Information Assurance and Security

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Purdue University - Discovery Park
Center for Education and Research in Information Assurance and Security

Chris Clifton

CERIAS Fellow

Title

Professor 

Department

Office

LWSN 2142F 

Office Phone

(765) 494-6005 

Education

B.S. and M.S. from the Massachusetts Institute of Technology, and M.A. and Ph.D. from Princeton University 

Prior Appointments

Assistant Professor of Computer Science at Northwestern University. 

Research Areas

Privacy Issues in Information Management,Data Mining, Data Security, Database Support for Text, andHeterogeneous Databases. 

Key Areas

Assurable Software and Architecture Incident Detection, Response, Investigation Identification, Authentication, Privacy 

Notable Experience

Principal Scientist for the MITRE Corporation. Works on challenges posed by novel uses of data mining technology, including data mining of text, data mining techniques applied to interoperation of heterogeneous information sources, and security and privacy issues raised by data mining. Fundamental data mining challenges posed by these applications include extracting knowledge from noisy data, identifying knowledge in highly skewed data (few examples of "interesting" behavior), and limits on learning. Also works on database support for widely distributed and autonomously controlled information, particularly information administration issues such as supporting fine-grained access control. 

Publications

Secure Set Intersection Cardinality with Application to Association Rule Mining (with J. Vaidya), Journal of Computer Security (to appear). Privacy-Preserving Data Mining: Why, How, and What For? (with J. Vaidya), IEEE Security & Privacy (November/December, 2004). Privacy Preserving Data Mining of Association Rules on Horizontally Partitioned Data (with M. Kantarcioglu), Transactions on Knowledge and Data Engineering 16(9), IEEE Computer Society Press (September 2004). 

Biography

Chris Clifton is an Associate Professor of Computer Science at Purdue University. He has a Ph.D. from Princeton University, and Bachelor's and Master's degrees from the Massachusetts Institute of Technology. Prior to joining Purdue in 2001, Chris had served as a Principal Scientist at The MITRE Corporation and as an Assistant Professor of Computer Science at Northwestern University. His research interests include data mining, data security, database support for text, and heterogeneous databases. Dr. Clifton works on challenges posed by novel uses of data mining technology, including data mining of text, data mining techniques applied to interoperation of heterogeneous information sources, and security and privacy issues raised by data mining. Fundamental data mining challenges posed by these applications, include extracting knowledge from noisy data, identifying knowledge in highly skewed data (few examples of "interesting" behavior), and limits on learning. He also works on database support for widely distributed and autonomously controlled information, particularly information administration issues such as supporting fine-grained access control. Prior to joining Purdue, Dr. Clifton was a Principal Scientist in the Information Technology Division at the MITRE Corporation. He has a Ph.D. from Princeton University, and Bachelor's and Master's degrees from the Massachusetts Institute of Technology. Before joining MITRE in 1995, he was an Assistant Professor of Computer Science at Northwestern University.