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
Junior Faculty Research Award (One Per School), Rutgers Business
School, 2009
NSF CAREER Award, 2008.
Received the Best Paper award, Industry track, at ICDE 2005.
Received the Honorable Mention for best research paper award at KDD 2003.
Member of Upsilon Pi Epsilon, Computer
Science Honor Society
State Merit Scholarship awarded by the government of U.P., India (1989)
State Merit Scholarship awarded by the government of Maharashtra, India
(1990).
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.
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.
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.
Vertically Partitioned data, Jaideep Vaidya in
Encyclopedia of Database Systems, Özsu, M. Tamer; Liu,
Ling (Eds.), Springer, to appear.
Secure Multiparty Computation Methods, Murat Kantacioglu and Jaideep Vaidya in Encyclopedia of Database Systems, Özsu, M. Tamer; Liu,
Ling (Eds.), Springer, to appear.
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.
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.
Similar Document Detection with Limited Information
Disclosure, Mummoorthy Murugesan, Wei Jiang, Chris Clifton, Luo Si,
and Jaideep Vaidya, accepted for publication in International Journal of
Very Large Data Bases (VLDB Journal), VLDB Endowment.
Privacy Preserving Integration of Health Care Data, Xiaoyun
He, Jaideep Vaidya, Basit Shafiq, Nabil Adam, Thomas White, accepted
for publication in International Journal of Computational Models and Algorithms in
Medicine, special issue on Privacy and Security Issues for Medical
Data, IGI Global.
Spatial neighborhood based anomaly detection in sensor datasets
Vandana Janeja, Nabil R. Adam, Vijayalakshmi Atluri and Jaideep
Vaidya, accepted for publication in Data Mining and Knowledge
Discovery, special issue on Outlier Detection, Springer.
Anonymization Models for Directional Location Based
Service Environments, Heechang Shin, Jaideep Vaidya, and
Vijayalakshmi Atluri, accepted for publication in Computers and
Security, Elsevier.
Towards a United Index Structure for Spatiotemporal Data and
Authorizations Vijayalakshmi Atluri, Qi Guo, Heechang Shin, and
Jaideep Vaidya, accepted for publication in the International
Journal of Information and Computer Security, Inderscience.
Role Engineering via Prioritized Subset Enumeration. Jaideep
Vaidya, Vijayalakshmi Atluri, Janice Warner, and Qi Guo, accepted
for publication in IEEE
Transactions on Dependable and Secure Computing, IEEE
Computer Society.
The Role Mining Problem: A Formal Perspective, Jaideep Vaidya, Vijayalakshmi Atluri, and Qi Guo, accepted
for publication in ACM Transactions on Information Systems Security,
ACM. (Invited extension of SACMAT '07 paper).
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).
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.
Semantics Based Automated Service Discovery Aabhas Paliwal, Basit
Shafiq, Jaideep Vaidya, Hui Xiong, and Nabil Adam, submitted (August
2008) to IEEE Transactions on Services Computing, IEEE Computer
Society, Los Alamitos, CA.
A Profile Anonymization Model for Location Based Services,
Heechang Shin, Jaideep Vaidya, and Vijayalakshmi Atluri, submitted
(November 2008) to IEEE Transactions on Mobile Computing, IEEE
Computer Society, Los Alamitos, CA.
Migrating to Optimal RBAC with Minimal Perturbation, Jaideep
Vaidya, Vijayalakshmi Atluri, Qi Guo, and Nabil Adam (extension of
SACMAT '08 paper invited to ACM TISSEC)
Extended Boolean Matrix Decomposition, Haibing Lu, Jaideep
Vaidya, Vijayalakshmi Atluri, and Yuan Hong in
Proceedings of the 2009 IEEE International Conference on Data Mining
(ICDM '09), December 6-9, 2009, Miami, Florida, USA.
Effective Anonymization of Query Logs, Yuan Hong, Xiaoyun He,
Jaideep Vaidya, Nabil Adam, and Vijayalakshmi Atluri, in
Proceedings of the 18th ACM Conference on Information and
Knowledge Management (CIKM '09), November 2-6, 2009, Hong Kong, China.
Preserving Privacy in
Social Networks: A Structure-Aware Approach, Xiaoyun He,
Jaideep Vaidya, Basit Shafiq, Nabil Adam, and Vijayalakshmi
Atluri, in Proceedings of the 2009 IEEE/WIC/ACM International
Conference on Web Intelligence (WI-09), September 15-18, 2009,
Milan, Italy.
Efficient
Privacy-Preserving Link Discovery, Xiaoyun He,
Jaideep Vaidya, Basit Shafiq, Nabil Adam, Evimaria Terzi, and Tyrone
Grandison, in Proceedings of the 13th Pacific-Asia Conference on
Knowledge Discovery and Data Mining (PAKDD-09) , April 27-30, 2009,
Bangkok, Thailand.
Privacy-Preserving Linear
Programming, Jaideep Vaidya, in
Proceedings of the 24th Annual ACM Symposium on Applied Computing,
Security Track, March 8-12, 2009, Honolulu, Hawaii, USA. (Bib).
Towards a holistic approach to privacy-preserving data
analysis, Jaideep Vaidya, in Proceedings of the 2008
Workshop on Secure Knowledge Management, Richardson, TX, USA. (Bib).
Ontology Driven Resource Management for Emergency Response ,
Basit Shafiq, Nabil Adam, Vijay Atluri, Jaideep Vaidya, and
Soon Ae Chun, in Proceedings of the 2008
Workshop on Secure Knowledge Management, Richardson, TX, USA. (Bib).
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).
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).
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).
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).
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.
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).
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.
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).
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).
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).
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.
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).
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).
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.
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.
Privacy-Preserving Collaboration - Supply Chain, Transportation
Logistics, and Other problems,
Supply Chain Management Research Seminar Series, Rutgers Business School,
Newark, NJ, April 28, 2005.
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.
2009 Workshop on Privacy in the Electronic Society (WPES '09), in
conjunction with the 16th ACM Conference on Computer and
Communications Security (CCS '09), November 9, 2009, Chicago, USA .
