Preserving privacy in environments with location-based applications

A privacy service for location-based collaboration among mobile users

“…Most participants felt that pre-configured profiles (e.g., 'In a Meeting', 'Taking a Break', etc.) could be used to alleviate this complexity, especially if there was a way to Myles [33] proposed a component framework for privacy control which has been integrated to the location service LocServ (Location Service). Through Validator components, LocServ evaluates if the user's location requested by a third party may be disclosed or not.…”

“…In particular, it should help the user to easily define new rules, evaluate how they work in different situations, and allow her to modify and refine them, in order to properly maintain the desired level of privacy. This main requirement can be translated into the following properties of a Privacy Service, some of which have also been advocated by other researchers [22,33]: -mation is queried;…”

“…Compared to these works [9,3,36,25,22,8,33], the main contribution of our work is that CoPS offers a larger, more comprehensible and effective set of privacy control mechanisms that assist the user in building and maintaining her privacy policy. For example, we have defined new design principles (e.g., fine-grained access control, userdefined privacy profiles, hierarchy of privacy policies) and incorporated new functionalities for privacy control into CoPS (e.g., Policy Hierarchies, the Specificity Algorithm, Access Policies, Privacy Profiles, among others) that offer more flexibility for the management of privacy control by users and organizations.…”

“…These concerns call for location-based services and applications that consider privacy issues related to their usage from the beginning [36]. Nevertheless, the majority of related work [3,5,8,9,20,33] does not take into account the high complexity of utilization of a LBS enabling privacy control. They do not take into account that the privacy level needs to be adjusted dynamically and that this control is highly dependent on both the situation, environment or task in which the user is currently engaged, as well as the levels of trust and the roles of the interacting users.…”

Scalability in a Secure Distributed Proof System

“…Besides defining triggering actions [22] of pervasive applications (e.g., a smart meeting room), a logical language provides a way to infer high-level context information [13,19], such as a user's activity, from raw sensor data. One promising application of the logic-based approach is a context-sensitive authorization system [1,2,6,8,11,18,24] that considers a requester's context as well as his identity to make a granting decision; the system derives the granting decision (true or false) with a set of rules encoding policies and facts encoding context information.…”