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Yuan HongI am a Ph. D candidate at Management Science and Information Systems (MSIS) department, Rutgers University under the Supervision of Prof. Jaideep Vaidya. I am interested in the research of information security, data privacy and data mining. Address: One Washington Park, Rutgers Business School-1021A, Newark, NJ 07102 Email: yhong AT cimic.rutgers.edu, My Latest [CV], My [Google Scholar]. |
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Security and Privacy in Distributed and Cloud Computing, particularly in Optimization and Data Mining
Data Privacy (anonymization, differential privacy)
Miscellaneous Topics in Security & Privacy: Applied Cryptography, Incentive Compatibility, Role Engineering, Security and Privacy in Healthcare Systems
Data Mining and Knowledge Discovery
1. Yuan Hong, Jaideep Vaidya, and Haibing Lu, Secure and Efficient Distributed Linear Programming, Journal of Computer Security (JCS), accepted, 2012.
2. Haibing Lu, Jaideep Vaidya, Vijayalakshmi Atluri, and Yuan Hong, Constraint-Aware Role Mining Via Extended Boolean Matrix Decomposition, IEEE Transactions on Dependable and Secure Computing (TDSC), Special Issue on Data & Application Security, accepted, 2012.
under review or revision (Journal Articles)
1. Danish Mehmood, Basit Shafiq, Jaideep Vaidya, Yuan Hong, Nabil Adam and Vijay Atluri, Privacy Preserving Subgraph Discovery, in Proceedings of the 26th Annual IFIP WG 1.3 Conference on Data and Applications Security and Privacy (DBSEC '12), July 11-13, 2012, Paris, France.
2. Yuan Hong, Jaideep Vaidya, Haibing Lu, and Mingrui Wu, Differentially Private Search Log Sanitization with Optimal Output Utility, in Proceedings of the 15th International Conference on Extending Database Technology (EDBT '12), March 26-30, 2012, Berlin, Germany. (Acceptance Rate: 22.5%)
3. Yuan Hong, Jaideep Vaidya, Haibing Lu, and Basit Shafiq, Privacy-preserving Tabu Search for Distributed Graph Coloring, in Proceedings of the Third IEEE International Conference on Privacy, Security, Risk and Trust (PASSAT '11), October 9-11, 2011, MIT, Boston, USA. (Acceptance Rate: 8%)
4. Yuan Hong, Jaideep Vaidya, and Haibing Lu, Search Engine Query Clustering using Top-k Search Results, in Proceedings of the 10th IEEE/WIC/ACM International Conference on Web Intelligence (WI '11), August 22-27, 2011, Lyon, France. (Acceptance Rate: 20.5%)
5. Yuan Hong, Jaideep Vaidya, and Haibing Lu, Efficient Distributed Linear Programming with Limited Disclosure, in Proceedings of the 25th Annual IFIP WG 1.3 Conference on Data and Applications Security and Privacy (DBSEC '11), July 11-13, 2011, Richmond, Virginia, USA.
THESIS, PRE-PRINTS AND TECHNICAL REPORTS