Abstract

These proceedings contain the papers selected for presentation at the second edition of ACM Workshop on Security and Privacy in GIS and LBS (SPRINGL 2009) which is being held in conjunction with the ACM SIGSPATIAL GIS conference. The aim of the workshop is to lay the foundation and agenda for research and development in the area of geospatial data security and privacy. Today's world is witnessing a dramatic increase and dissemination of geospatial data in several application contexts including homeland security, environmental crises, and natural and industrial disasters. Geospatial infrastructures are being leveraged by companies to provide a large variety of location-based services (LBS) able to tailor services to users. However, despite the increase of publicly accessible geospatial information only little attention is being paid on how to secure geospatial information systems (GIS) and LBS. Privacy is also of increasing concern given the sensitivity of personally-identifiable location information. This is despite major advancements that have been made in secure computing infrastructures and the secure and privacy-preserving management of traditional (relational) data in particular. Given these pressing needs for securing GIS and LBS as well as assuring privacy, it is compelling to investigate security and privacy aspects as they relate to the management of geospatial data and the development of both emerging LBS and mission-critical geographic applications. This year's program is organized in three sessions: security policies and context-based security for GIS; location anonymization; and privacy and location trustworthiness. The program also features two outstanding invited speakers: Michael Gertz, from the University of Heidelberg, Germany, and Walid Aref from Purdue University, USA. The program is complemented by a panel focusing on inter-disciplinary research on privacy. We hope that these proceedings will serve as a valuable reference for researchers and practitioners and facilitate further research and development in geospatial data security and privacy.

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