Dan Lin

Associate Professor and St. Clair Fellow

Computer Science Department

I have been working on moving object databases for years. Applications related to moving objects (e.g. vehicles, users of wireless devices) have become more and more popular attributed to the advances in positioning technologies such as GPS and rapid developments of wireless communication devices. Such applications contain a large amount of frequently updated moving objects which cannot be well supported by the traditional databases. In order to efficiently manage moving objects, I have proposed several moving object indexing and querying techniques. Recently, I am also interested in the topic of location privacy protection which aims to protect users’ location information from being disclosed to unauthorized parties. 

Information security is always a big concern in many applications. My other research interest lies in developing tools for managing and analyzing access control policies in the scenario of distributed applications like grid computing, content distribution networks, and the cloud.

My research in one area has helped me find new research problems in other areas, and inspired new approaches. 

Selected Publications

Dan Lin, Prathima Rao, Rodolfo Ferrini, Elisa Bertino, Jorge Lobo, "A Similarity Measure for Comparing XACML Policies”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2012. 

Smitha Sundareswaran, Anna Squicciarini, Dan Lin, Shuo Huang, “Ensuring Distributed Accountability for Data Sharing in the Cloud”, in IEEE Transactions on Dependable and Secure Computing (TDSC),2012. 

Smitha Sundareswaran, Anna Squicciarini, Dan Lin, "A Brokerage-Based Approach for Cloud Service Selection”, In Proceedings of IEEE International Conference on Cloud Computing, 2012. 

Jianzhong Qi, Rui Zhang, Lars Kulik, Dan Lin, Yuan Xue, “The Min-dist Location Selection Query”, In International Conference on Data Engineering (ICDE), 2012. 

Dan Lin, Christian S. Jensen, Rui Zhang, Lu Xiao, Jiaheng Lu, "A Moving-Object Index for Efficient Query Processing with Peer-Wise Location Privacy”, In Proceedings of International Conference on Very Large Data Bases (VLDB), Istanbul, Turkey, 2012.

Recent Grants

National Science Foundation (NSF)
 “Brokerage Services for the Next Generation Cloud”, 09/01/2012--08/30/2014.
 
University of Missouri Research Board (UMRB)
 “Efficient Processing of Keyword Search in Spatial Databases”, 02/2012- 01/2013.

Research Interests:

Database Systems, Security and Privacy, Cloud Computing, Vehicular Ad-hoc Networks.

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