The first Workshop on Security and Privacy in GIS and LBS (SPRINGL 2008) was organized on November 4, 2008 at Irvine … security and privacy. Both security and privacy are critical for geospatial applications because of the dramatic increase and … information only little attention is being paid to how to secure geospatial information systems (GIS) and LBS. Privacy is also of …

still possible for an adversary to reconstruct the original data using additional information thus resulting in privacy …, based on statistical decision theory, that assesses the relationship between the disclosed data and the resulting privacy … database. We assess the privacy risk by taking into account both the entity identification and the sensitivity of the disclosed …

privacy. Previous research efforts acknowledged the importance of assessing location data trustworthiness, but they assume … fact that repositories of personal location data must conform to privacy regulations.In this paper, we study the …, can benefit from the use of anonymized location data. We have implemented a prototype of the proposed privacy …

In recent years, anonymization methods have emerged as an important tool to preserve individual privacy when releasing … privacy sensitive data sets. This interest in anonymization techniques has resulted in a plethora of methods for anonymizing … data under different privacy and utility assumptions. At the same time, there has been little research addressing how to …

addressing security concerns, such as access control, security and privacy policies, and the development of secure and in … unique requirements of secure geospatial data management and to suggest a comprehensive framework for security and privacy … privacy for geospatial data. …

this paper we develop an approach to support privacy controlled sharing of identity attributes and harmonization of privacy … of identity attributes from one entity to another violate the privacy policies stated by the former. We also provide … accountability since an entity non-compliant with the users original privacy preferences can be identified. Finally, a comprehensive …

resulting privacy risk. We relate our framework with the k-anonymity disclosure method; we make the assumptions behind k …

have several essential security and privacy properties. We present a basic yet reasonably expressive language which …

In this paper we highlight the need for privacy of user data used in digital identity management systems. We … problem of identity theft and the sociological concerns of individuals with respect to the privacy of their identity data. We … show the privacy concerns, especially with respect to health and biometric data, where the loss of privacy of that data may …