Embedding security policies into pervasive computing systems

When developing pervasive computing applications, it is critical to specify security policies and develop security mechanisms to ensure the confidentiality and integrity of the applications. Numerous policy specification languages only focus on their expressive power. The emerging challenges in pervasive computing systems can not be fulfilled by these approaches. For instance, context awareness is a central aspect of pervasive computing systems. Existing approaches rarely consider context information in their language.This thesis proposes a generative approach dedicated to specifying and enforcing security policies in pervasive computingapplications. To specify a policy, we propose a context-aware policy specification language which helps developers to specify policy rules and required entities (e.g. spatial description, roles, context information). Policies are implemented by term rewriting systems which offers great verification power. To enforce a policy, we propose an architecture that embeds important concepts of security policies (subject, object, security related context) into pervasive computing applications. To apply our approach, we enriched an existing approach which is dedicated to develop pervasive computing applications. Based on the policy specification and the enriched pervasive computing application descriptions, a dedicated programming framework is generated. This framework guides the implementation and raises the level of abstraction which can reduce the workloads of developers.

Data and Resources

Additional Info

Field Value
Source https://theses.hal.science/tel-00799284
Author Liu, Pengfei
Maintainer CCSD
Last Updated May 13, 2026, 02:07 (UTC)
Created May 13, 2026, 02:07 (UTC)
Identifier NNT: 2013BOR14735
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire Bordelais de Recherche en Informatique (LaBRI) ; Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)
creator Liu, Pengfei
date 2013-01-17T00:00:00
harvest_object_id a3b51296-0257-454e-8e99-7b1fc9e8c413
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-04-03T00:00:00
set_spec type:THESE