Issue No. 04 - October-December (2006 vol. 5)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MPRV.2006.69
Baik Hoh , Rutgers University
Marco Gruteser , Rutgers University
Hui Xiong , Rutgers University
Ansaf Alrabady , General Motors
Future traffic-monitoring applications will be able to collect location traces from numerous GPS-equipped probe vehicles. This article discusses the privacy and data integrity challenges that this approach raises and presents an overview of architectural and algorithmic solutions. The proposed architecture splits communication and data analysis functions, thereby addressing privacy by separating data and identities. The authors also show that anonymous location samples stored in a database still let data mining algorithms reconstruct private information, such as home locations. Thus, a complete solution requires data suppression techniques to reduce these risks in addition to the proposed architecture. This article is part of a special issue on Intelligent Transportation.
security, data integrity, privacy, traffic monitoring systems, clustering
H. Xiong, B. Hoh, M. Gruteser and A. Alrabady, "Enhancing Security and Privacy in Traffic-Monitoring Systems," in IEEE Pervasive Computing, vol. 5, no. , pp. 38-46, 2006.