Management Science & Information Systems Department Rutgers University 180 University Ave Newark, New Jersey 07102-1803 (973)353-1441 Email:

41 River Road East Brunswick, New Jersey 08816 H-1B Visa

RESEARCH INTERESTS

I am primarily interested in the idea of secure information sharing and its various applications. My research contributions lie either in the field of Security or the field of Data Mining, or most successfully, at the interoperation of the two. The confluence of Privacy/Security, Data Mining and Databases leads to very interesting research issues. As such, I am interested in security and privacy issues raised by data mining; as also the application of secure computation technologies to business processes such as supply chain management and optimization. Other areas of interest include the application of data mining techniques to interoperation of heterogeneous information sources as well as the use of data mining for enhancing security.

AWARDS AND HONORS

EDUCATION

Ph.D., Computer Science, August 2004

Dissertation Topic:Privacy Preserving Data Mining over Vertically Partitioned Data. (Bib).

Privacy and security concerns can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery, if done correctly, can alleviate this problem. The key is to obtain valid results, while providing guarantees on the (non)disclosure of data. We focus on vertically partitioned data: situations where different sites contain different attributes for a common set of entities. The key challenges are to propose provably secure solutions which are also practical. The thesis argues that it is indeed possible to have efficient and practical techniques for provably privacy-preserving mining of knowledge from large amounts of data. The dissertation presents several privacy preserving data mining algorithms operating over vertically partitioned data. The set of underlying techniques solving independent sub-problems are also presented. Together, these enable the secure "mining" of knowledge.

Advisor: Chris Clifton

M.S., Computer Science, May 2001

B.S. in Computer Engineering, August 1999.

Term Project:Implemented in C, a Text to Speech Synthesis system for the Indian National Language, Hindi, in collaboration with Faculte Polytechnic de Mons, Belgium. Received a Special Commendation from the Principal of the College.

PROFESSIONAL EXPERIENCE

Assistant Professor of Management Science and Information Systems. Research on data mining, databases and security.

Research Assitant in the Department of Computer Sciences (affiliated with CERIAS and ICDS). Work included Ph.D. research with Prof. Chris Clifton and on Secure Multi-Party Computation issues as well as Graph Reachability Analysis with Prof. Mike Atallah.

Teaching Assistant for Computer Architecture, Compilers: Principles and Practice, graduate level Cryptography. Involves instructing laboratory sessions, grading and assisting students.

Summer Intern as part of the Content Aware Networks group. Work on security issues in content aware networks.
Mentor: Wen-Syan Li

Summer Intern as part of the Trident Team in the Internet Explorer Group. Core responsibility was to add W3C Document Object Model (DOM) Level 1 support to IE 6.0.

MONOGRAPH

Privacy Preserving Data Mining. Jaideep Vaidya, Chris Clifton, and Michael Zhu, in Advances in Information Security bookseries, Sushil Jajodia, Series Editor, Springer-Verlag. November 2005, ISBN:0-387-25886-8. (Bib).

BOOK CHAPTERS

1. Vertically Partitioned data, Jaideep Vaidya in Encyclopedia of Database Systems, Özsu, M. Tamer; Liu, Ling (Eds.), Springer, to appear.
2. Secure Multiparty Computation Methods, Murat Kantacioglu and Jaideep Vaidya in Encyclopedia of Database Systems, Özsu, M. Tamer; Liu, Ling (Eds.), Springer, to appear.
3. Chapter 14 - A Survey of Privacy-Preserving Methods across Vertically Partitioned Data, Jaideep Vaidya in Privacy-Preserving Data Mining: Models and Algorithms, Charu Aggarwal, Philip S. Yu, eds., Springer, 2008.
4. Chapter 6 - Privacy, Profiling, Targeted Marketing, and Data Mining. Jaideep Vaidya and Vijay Atluri in Digital Privacy: Theory, Technologies, and Practices, Taylor and Francis, December 18, 2007.
5. Chapter 14 - Defining Privacy for Data Mining. Chris Clifton, Murat Kantarcioglu and Jaideep Vaidya in Data Mining: Next Generation Challenges and Future Directions , AAAI/MIT Press, October 1, 2004.
6. Privacy-Preserving Data Mining. Chris Clifton, Murat Kantarcioglu and and Jaideep Vaidya, invited chapter in Foundations and Advances in Data Mining, T.Y. Lin and Wesley Chu, eds., Springer-Verlag, October 2005.

JOURNAL ARTICLES

1. The Role Mining Problem: Finding a Minimal Descriptive Set of Roles, Jaideep Vaidya, Vijayalakshmi Atluri, and Qi Guo, accepted for publication in ACM Transactions on Information Systems Security, ACM. (Invited extension of SACMAT '07 paper).
2. Privacy Preserving Decision Tree Classification over Vertically Partitioned Data. Jaideep Vaidya, Chris Clifton, Murat Kantarcioglu and A. Scott Patterson, accepted for publication in ACM Transactions on Knowledge Discovery in Databases.
3. Privacy-Preserving Kth Element Score over Vertically Partitioned Data. Jaideep Vaidya, and Chris Clifton, accepted for publication in IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Society.
4. Role Engineering for Minimizing Administrative Assignments. Jaideep Vaidya, Vijayalakshmi Atluri, Qi Guo, and Haibing Lu, accepted for publication in Journal of Computer Security, IOS Press, NL.
5. Efficient Security Policy Enforcement for the Mobile Environment. Vijayalakshmi Atluri, Heechang Shin, and Jaideep Vaidya, Journal of Computer Security, 16(4), pp. 439-475, 2008, IOS Press, NL. (Bib).
6. Privacy Preserving Naive Bayes Classification. Jaideep Vaidya, Murat Kantarcioglu, and Chris Clifton, International Journal on Very Large Data Bases, 17(4), pp. 879-898, July, 2008, Springer-Verlag, GmbH. (Bib).
7. An Approach to Identifying Beneficial Collaboration Securely in Decentralized Logistics Systems. Chris Clifton, Ananth Iyer, Richard Cho, Wei Jiang, Murat Kantarcioglu, and Jaideep Vaidya, Manufacturing & Service Operations Management, 10(1), Winter 2008, pp. 108-125, INFORMS, Linthicum, Maryland. (Bib).
8. Privacy Preserving SVM Classification. Jaideep Vaidya, Hwanjo Yu and Xiaoqian Jiang, in Knowledge and Information Systems, Springer, 14(2), pp. 161-178, February, 2008. (Bib).
9. Secure Set Intersection Cardinality with Application to Association Rule Mining. Jaideep Vaidya and Chris Clifton, Journal of Computer Security, 13(4), IOS Press, November 2005, pp. 593 - 622. (Bib).
10. Privacy-Preserving Data Mining: Why, How, and When?. Jaideep Vaidya and Chris Clifton, in IEEE Security & Privacy, New York, NY, 2(6), pp. 19-27, November/December 2004. (Bib).
11. Tools for Privacy Preserving Distributed Data Mining. Chris Clifton, Murat Kantarcioglu, Jaideep Vaidya, Xiaodong Lin, and Michael Zhu in ACM SIGKDD Explorations 4(2), December 2002. Invited paper. (Bib).

Under Review (Notes on use):

1. Privacy Preserving Linear SVM Classification. Hwanjo Yu and Jaideep Vaidya, submitted (September 2004) to Data and Knowledge Engineering, Elsevier Science, Amsterdam.
2. Exploring the benefits of Information Sharing in a Distribution System. Xiaolong Zhang, Yao Zhao and Jaideep Vaidya, submitted (December 2007) to the European Journal of Operations Research.
3. Role Engineering via Prioritized Subset Enumeration. Jaideep Vaidya, Vijayalakshmi Atluri, and Janice Warner, submitted (December 2006) to IEEE Transactions on Dependable and Secure Computing.
4. Privacy Preserving Indexing of Documents. Mayank Bawa, Rakesh Agrawal, Roberto J. Bayardo and Jaideep Vaidya, submitted (September 2007) to the International Journal of Very Large Data Bases, Springer.

REFEREED CONFERENCES AND WORKSHOPS

1. The Role Hierarchy Mining Problem: Discovery of Optimal Role Hierarchies, Qi Guo, Jaideep Vaidya, and Vijayalakshmi Atluri, in Proceedings of the 24th Annual Computer Security Applications Conference, December 8-12, 2008, Anaheim, California. (Bib).
2. Secure Construction of Contingency Tables from Distributed Data, Haibing Lu, Xiaoyun He, Jaideep Vaidya, and Nabil Adam, in Proceedings of the 22nd Annual IFIP WG 11.3 Working Conference on Data and Applications Security (DBSEC '08), July 13-16, 2008, London, UK. (Bib).
3. Migrating to Optimal RBAC with Minimal Perturbation, Jaideep Vaidya, Vijayalakshmi Atluri, Qi Guo, and Nabil Adam, in Proceedings of the 13th ACM Symposium on Access Control Models and Technologies (SACMAT), June 11-13, 2008, Estes Park, Colorado, USA. (Bib).
4. Secure Information Sharing and Analysis for Effective Emergency Management, Nabil Adam, Vijayalakshmi Atluri, Soon Ae Chun, John Ellenberger, Basit Shafiq, Jaideep Vaidya, and Hui Xiong, in Proceedings of the 9th Annual International Conference on Digital Government Research, May 18-21, 2008, Montreal, Canada. (Bib).
5. A Profile Anonymization Model for Privacy in a Personalized Location Based Service Environment, Heechang Shin, Vijayalakshmi Atluri, and Jaideep Vaidya, in Proceedings of the 9th International Conference on Mobile Data Management, April 27-30, 2008, Beijing, China. (Bib).
6. Privacy-preserving Link Discovery, Xiaoyun He, Basit Shafiq, Jaideep Vaidya, and Nabil Adam, in Proceedings of the 23rd Annual ACM Symposium on Applied Computing, Data Mining Track, March 16-20, 2008, Fortaleza, Ceara, Brazil. (Bib).
7. Optimal Boolean Matrix Decomposition: Application to Role Engineering, Haibing Lu, Jaideep Vaidya, and Vijay Atluri, in Proceedings of the 24th International Conference on Data Engineering, April 7-12, 2008, Cancun, Mexico. (Bib).
8. Privacy Preserving Integration of Health Care Data, Nabil Adam, Thomas White, Basit Shafiq, Jaideep Vaidya, and Xiaoyun He, American Medical Informatics Association 2007 Annual Symposium, November 10-14, 2007, Chicago, Illinois.
9. Enabling better Medical Image Classification through Secure Collaboration, Jaideep Vaidya and Bhakti Tulpule, in Proceedings of the 14th IEEE International Conference on Image Processing, September 16-19, 2007, San Antonio, Texas. (Bib).
10. The Role Mining Problem: Finding a Minimal Descriptive Set of Roles , Jaideep Vaidya, Vijay Atluri, and Qi Guo, in Proceedings of the 12th ACM Symposium on Access Control Models and Technologies, June 20-June22, 2007, Sophia Antipolis, France. (Bib).
11. Collaboration Based Access Control Using Semantics, Janice Warner, Vijay Atluri, Ravi Mukkamala and Jaideep Vaidya, in Proceedings of the 12th ACM Symposium on Access Control Models and Technologies, June 20-June 22, 2007, Sophia Antipolis, France. (Bib).
12. RoleMiner: Mining Roles using Subset Enumeration, Jaideep Vaidya, Vijay Atluri, and Janice Warner, in Proceedings of the 13th ACM Conference on Computer and Communications Security, October 30-November 3, 2006, Alexandria, VA, USA. (Bib).
13. Privacy-Preserving SVM Classification on Vertically Partitioned Data, Hwanjo Yu, Jaideep Vaidya and Xiaoqian Jiang, in Proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining, April 9-12,2006, Singapore. (Bib).
14. Privacy-Preserving SVM using Nonlinear Kernels on Horizontally Partitioned Data, Hwanjo Yu, Jaideep Vaidya and Xiaoqian Jiang, in Proceedings of the 21st Annual ACM Symposium on Applied Computing, Data Mining Track, April 23-27, 2006, Dijon, France. (Bib).
15. Privacy-Preserving Decision Trees over Vertically Partitioned Data, Jaideep Vaidya and Chris Clifton, in Proceedings of the 2005 IFIP WG 11.3 International Conference on Data and Applications Security, August 2005, Storrs, CT, USA. (Bib).
16. Collusion Set Detection through Outlier Discovery, Vandana Janeja, Vijay Atluri, Jaideep Vaidya and Nabil R. Adam, in Proceedings of the IEEE International Conference on Intelligence and Security Informatics, May 19-20, 2005, Atlanta, GA.
17. Privacy Preserving Top-K Queries, Jaideep Vaidya and Chris Clifton, in Proceedings of the 2005 IEEE International Conference on Data Engineering, April 2005, Tokyo, Japan. (Bib).
18. Knowledge Discovery from Transportation Graph Data, Wei Jiang, Jaideep Vaidya, Zahir Balaporia, Chris Clifton, and Brett Banich, in Proceedings of the 2005 IEEE International Conference on Data Engineering, April 2005, Tokyo, Japan. Best Industrial Paper award. (Bib).
19. Privacy Preserving Outlier Detection, Jaideep Vaidya and Chris Clifton, in Proceedings of the 2004 IEEE International Conference on Data Mining, November 2004, Brighton, UK. (Bib).
20. Privacy Preserving Data Integration and Sharing. Chris Clifton, AnHai Doan, Ahmed Elmagarmid, Murat Kantarcioglu, Gunther Schadow, Dan Suciu, and Jaideep Vaidya, in The Ninth ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, June 13, 2004, Maison de la Chimie, Paris, France.
21. Privacy Preserving Naive Bayes Classifier for Vertically Partitioned Data, Jaideep Vaidya and Chris Clifton, in Proceedings of the 2004 SIAM International Conference on Data Mining, May 2004, Orlando, Florida. (Bib).
22. Privacy Preserving Naive Bayes Classifier for Horizontally Partitioned Data. Murat Kantarcioglu and Jaideep Vaidya, in Proceedings of the Workshop on Privacy Preserving Data Mining held in association with The Third IEEE International Conference on Data Mining, November 19 - 22, 2003, Melbourne, FL. (Bib).
23. Leveraging the "Multi" in Secure Multi-Party Computation. Jaideep Vaidya and Chris Clifton, in Proceedings of the Workshop on Privacy in the Electronic Society held in association with The Tenth ACM Conference on Computer and Communications Security, October 27 - 31, 2003, Washington, D.C. (Bib).
24. Privacy-Preserving K-Means Clustering over Vertically Partitioned Data. Jaideep Vaidya and Chris Clifton, in Proceedings of the The Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24 - 27, 2003, Washington, D.C. Honorable mention (runner up), best research paper. (Bib).
    (Revised paper invited for submission at Interface '04).
25. An architecture for Privacy-preserving Mining of Client Information. Murat Kantarcioglu and Jaideep Vaidya, in Volume 14 - Privacy, Security and Data Mining of the ACS Series Conferences in Research and Practice in Information Technology.
26. Privacy Preserving Association Rule Mining in Vertically Partitioned Data. Jaideep Vaidya and Chris Clifton, in Proceedings of the The Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 23 - 26, 2002, Edmonton, Alberta, Canada. (Bib).

EDITOR REFEREED PUBLICATIONS

1. Using Secure-coprocessor for Creating Efficient Privacy-Preserving Distributed Data Mining Toolbox. Murat Kantarcioglu, Jaideep Vaidya and Chris Clifton, in International Workshop on Privacy and Security Issues in Data Mining held in conjuction with ECML/PKDD 2004, September 20, 2004, Italy. Invited paper.
2. Defining Privacy for Data Mining. Chris Clifton and Murat Kantarcioglu and Jaideep Vaidya, in Proceedings of the National Science Foundation Workshop on Next Generation Data Mining, November 1-3, 2002, Baltimore, MD. Invited paper.

PRESENTATIONS

1. Role Engineering and the Role Mining Problem, University of Texas at Dallas, Dallas, TX, September 17, 2007.
2. Role Engineering and the Role Mining Problem, Tata Research Design & Development Center, August 1, 2007, Pune, India.
3. RoleMiner: Mining Roles using Subset Enumeration at the 13th ACM Conference on Computer and Communications Security, November 1, 2006.
4. Privacy-Preserving Data Mining at the Tata Research Design & Development Center, Pune, India, June 21, 2005
5. Privacy-Preserving Outlier Detection, at the Stevens Institute of Technology, Hoboken, NJ, May 2, 2005.
6. Privacy-Preserving Collaboration - Supply Chain, Transportation Logistics, and Other problems, Supply Chain Management Research Seminar Series, Rutgers Business School, Newark, NJ, April 28, 2005.
7. Privacy Preserving K-Means Clustering on Vertically Partitioned Data, invited talk at Interface '04, the best of data mining at KDD session, Baltimore, Maryland, May 27, 2004.
8. Privacy Preserving Data Mining over Vertically Partitioned Data at the CSIS Seminar at the Department of Information and Software Engineering, George Mason University, May 25, 2004.
9. Privacy Preserving Data Mining on Vertically Partitioned Data at the CERIAS Security Seminar, January 14, 2004.
10. Privacy Preserving Data Mining over Vertically Partitioned Data at the DAIS Seminar at the CS Department at University of Illinois at Urbana-Champaign, October 24, 2003.
11. Leveraging the "Multi" in Secure Multi-Party Computation at the Workshop on Privacy in Electronic Society held in conjunction with ACM CCS, October 30, 2003.
12. Privacy Preserving K-Means Clustering over Vertically Partitioned Data at the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 25, 2003.
13. A new architecture for Privacy Preserving Data Mining at the Workshop on Privacy, Security and Data Mining held in conjunction with ICDM, December 9, 2002.
14. Privacy Preserving Data Mining with Chris Clifton in CERIAS Security Seminar, February 27, 2002.
15. A new architecture for Privacy Preserving Data Mining in Indiana Center for Database Systems seminar, December 4, 2002.

PROFESSIONAL ACTIVITIES

• Publicity Chair, 2008 Workshop on Secure Knowledge Management, November 3-4, 2008, Richardson, TX, USA.
• Co-Program Chair, 6th International Workshop on Privacy Aspects of Data Mining, held in conjunction with the 2007 IEEE International Conference on Data Mining, October 28, 2007, Omaha, NE, USA.
• Proceedings Chair, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , August 21-24, 2005, Chicago, IL, USA.
• Book Donations Chair, ACM SIGMOD/PODS 2005 Conference, June 14-16, 2005, Baltimore, MD.
• Program Committee
  • 2008 IEEE International Conference on Data Mining (ICDM '08), December 15-19, 2008, Pisa, Italy.
  • 2008 Workshop on Secure Knowledge Management, November 3-4, 2008, Richardson, TX, USA.
  • 2008 IEEE International Conference on Granular Computing, August 26-28, 2008, Hangzhou, China.
  • 10th International Conference on Data Warehousing and Knowledge Discovery (DaWaK '08), September 1-5, 2008, Turin, Italy.
  • The 2nd International Workshop on Privacy-Aware Location-based Mobile Services (PALMS), April 27, 2008, Beijing, China
  • The 11th IEEE International Conference on Computational Science and Engineering, July 16-18, 2008, Sao Paolo, Brazil.
  • The 22nd Annual IFIP WG 11.3 Working Conference on Data and Applications Security, July 13-16, 2008, London, UK.
  • The 1st Workshop on Data Mining of Uncertain Data (DUNE 2007), October 28, 2007, Omaha, NE, USA.
  • 1st Ph.D. Workshop in CIKM (PIKM), November 5, 2007, Lisboa, Portugal.
  • Third International Conference on Information Systems Security (ICISS 2007), December 16-20, 2007, Delhi, India.
  • 3rd International Workshop on Data Mining and Knowledge Discovery (ADMKD 2007), October 2, 2006, Varna, Bulgaria.
  • 9th International Conference on Data Warehousing and Knowledge Discovery (DaWaK '07), September 3-7, 2007, Regensburg, Germany.
  • The Twenty-Second International Conference on Artificial Intelligence (AAAI '07), July 22-26, 2007, Vancouver, British Columbia, Canada.
  • Second International Conference on Information Systems Security (ICISS 2006), December 17-21, 2006, Kolkata, India.
  • 2006 IEEE International Conference on Data Mining (ICDM '06), December 18-22, 2006, Hong Kong, China.
  • International Workshop on Privacy Aspects of Data Mining (PADM 2006), December 18, 2006, Hong Kong, China.
  • 2nd ADBIS Workshop on Data Mining and Knowledge Discovery, September 6, 2006, Thessaloniki, Greece.
  • 8th International Conference on Data Warehousing and Knowledge Discovery (DaWaK '06), September 4-8, 2006, Krakow, Poland.
  • IEEE International Conference on Granular Computing, May 10-12, 2006, Atlanta, Georgia, USA.
  • 2005 Symposium on Applied Computing Special Track on Data Mining (DM), March 13-17, 2005, Santa Fe, New Mexico.
  • Workshop on Privacy and Security Aspects of Data Mining, associated with the Fourth IEEE International Conference on Data Mining, November 1-4, 2004, Brighton, UK.
• Proposal Review Panels
  • NSF, April, 2008.
  • NASA Intelligent Systems Project, January 2004.
  • Kentucky Science & Engineering Foundation, November 2006.
• Undergraduate Curriculum Revision Committee, Rutgers Business School.
• Reviewer
  • Journal of Computer Security, IOS Press, The Netherlands.
  • International Journal on Very Large Data Bases, Springer-Verlag
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  • International Journal of Information and Computer Security, Inderscience.
  • Data Mining and Knowledge Discovery, Springer, Netherlands.
  • Journal of Official Statistics, Statistics Sweden.
  • International Journal of Digital Libraries, Springer-Verlag, Germany.
  • Knowledge and Information Systems, Springer-Verlag, London.
  • Journal of Artificial Intelligence Research, Morgan Kaufmann Publishers.
  • Journal of Database Management, Idea Group, Inc., PA, USA.
  • Transactions on Dependable and Secure Computing, IEEE.
  • Transactions on Systems, Man and Cybernetics, IEEE.
  • Transactions on Knowledge and Data Engineering , IEEE.
  • Transactions on Knowledge Discovery from Data, ACM.
  • Data & Knowledge Engineering, Elsevier B.V.