Controle de acesso sensível ao contexto baseado na inferência em trilhas

Abstract

The development of ubiquitous computing and the increasing processing power of portable devices such as smartphones and tablets have favored the emergence of applications that make use of context-aware systems to help the users in their daily work. This dissertation presents an access control model to entities that are inserted in a context. In this model, a context has activities (resources) that can be used checking the permissions from an access control server. This model proposes an alternative to default access control using the history of previous permissions granted to the entity (trails). The trails are analyzed according established rules in the model and new access permissions will be granted. The results demonstrate the feasibility of the proposal, allowing access control systems may use an alternative way to grant access rights.