Semantic role-based access control

In this thesis we propose two semantic ontological role-based access control (RBAC) reasoning processes. These processes infer user authorisations according to a set of role permission and denial assignments, together with user role assignments. The first process, SO-RBAC (Semantic Ontological Role-Based Access Control) uses OWL-DL to store the ontology, and SWRL to perform reasoning. It is based mainly on RBAC models previously described using Prolog. This demonstrates the feasibility of writing an RBAC model in OWL and performing reasoning inside it, but is still tied closely to descriptive logic concepts, and does not effectively exploit OWL features such as the class hierarchy. To fully exploit the capabilities of OWL, it was necessary to enhance the SO-RBAC model by programming it in OWL-Full. The resulting OWL-Full model, ESO-RBAC (Enhanced Semantic Ontological Role-Based Access Control), uses Jena for performing reasoning, and allows an object-oriented definition of roles and of data items. The definitions of roles as classes, and users as members of classes representing roles, allows user-role assignments to be defined in a way that is natural to OWL. All information relevant to determining authorisations is stored in the ontology. The resulting RBAC model is more flexible than models based on predicate logic and relational database systems. There are three motivations for this research. First, we found that relational database systems do not implement all of the features of RBAC that we modelled in Prolog. Furthermore, implementations of RBAC in database management systems is always vendor-specific, so the user is dependent on a particular vendor's procedures when granting permissions and denials. Second, Prolog and relational database systems cannot naturally represent hierarchical data, which is the backbone of any semantic representation of RBAC models. An RBAC model should be able to infer user authorisations from a hierarchy of both roles and data types, that is, determine permission or denial from not just the type of role (which may include sub-roles), but also the type of data (which may include sub-types). Third, OWL reasoner-enabled ontologies allow us to describe and manipulate the semantics of RBAC differently, and consequently to address the previous two problems efficiently. The contribution of this thesis is twofold. First, we propose semantic ontological reasoning processes, which are domain and implementation independent, and can be run from any distributed computing environment. This can be developed through integrated development environments such as NetBeans and using OWL APIs. Second, we have pioneered a way of exploiting OWL and its reasoners for the purpose of defining and manipulating the semantics of RBAC. Therefore, we automatically infer OWL concepts according to a specific stage that we define in our proposed reasoning processes. OWL ontologies are not static vocabularies of terms and constraints that define the semantics of RBAC. They are repositories of concepts that allow ad-hoc inference, with the ultimate goal in RBAC of granting permissions and denials

An active, ontology-driven network service for Internet collaboration

Web portals have emerged as an important means of collaboration on the WWW, and the integration of ontologies promises to make them more accurate in how they serve users’ collaboration and information location requirements. However, web portals are essentially a centralised architecture resulting in difficulties supporting seamless roaming between portals and collaboration between groups supported on different portals. This paper proposes an alternative approach to collaboration over the web using ontologies that is de-centralised and exploits content-based networking. We argue that this approach promises a user-centric, timely, secure and location-independent mechanism, which is potentially more scaleable and universal than existing centralised portals

A SEMANTIC BASED POLICY MANAGEMENT FRAMEWORK FOR CLOUD COMPUTING ENVIRONMENTS

Cloud computing paradigm has gained tremendous momentum and generated intensive interest. Although security issues are delaying its fast adoption, cloud computing is an unstoppable force and we need to provide security mechanisms to ensure its secure adoption. In this dissertation, we mainly focus on issues related to policy management and access control in the cloud. Currently, users have to use diverse access control mechanisms to protect their data when stored on the cloud service providers (CSPs). Access control policies may be specified in different policy languages and heterogeneity of access policies pose significant problems.An ideal policy management system should be able to work with all data regardless of where they are stored. Semantic Web technologies when used for policy management, can help address the crucial issues of interoperability of heterogeneous CSPs. In this dissertation, we propose a semantic based policy management framework for cloud computing environments which consists of two main components, namely policy management and specification component and policy evolution component. In the policy management and specification component, we first introduce policy management as a service (PMaaS), a cloud based policy management framework that give cloud users a unified control point for specifying authorization policies, regardless of where the data is stored. Then, we present semantic based policy management framework which enables users to specify access control policies using semantic web technologies and helps address heterogeneity issues of cloud computing environments. We also model temporal constraints and restrictions in GTRBAC using OWL and show how ontologies can be used to specify temporal constraints. We present a proof of concept implementation of the proposed framework and provide some performance evaluation. In the policy evolution component, we propose to use role mining techniques to deal with policy evolution issues and present StateMiner, a heuristic algorithm to find an RBAC state as close as possible to both the deployed RBAC state and the optimal state. We also implement the proposed algorithm and perform some experiments to demonstrate its effectiveness

Link Before You Share: Managing Privacy Policies through Blockchain

With the advent of numerous online content providers, utilities and applications, each with their own specific version of privacy policies and its associated overhead, it is becoming increasingly difficult for concerned users to manage and track the confidential information that they share with the providers. Users consent to providers to gather and share their Personally Identifiable Information (PII). We have developed a novel framework to automatically track details about how a users' PII data is stored, used and shared by the provider. We have integrated our Data Privacy ontology with the properties of blockchain, to develop an automated access control and audit mechanism that enforces users' data privacy policies when sharing their data across third parties. We have also validated this framework by implementing a working system LinkShare. In this paper, we describe our framework on detail along with the LinkShare system. Our approach can be adopted by Big Data users to automatically apply their privacy policy on data operations and track the flow of that data across various stakeholders.Comment: 10 pages, 6 figures, Published in: 4th International Workshop on Privacy and Security of Big Data (PSBD 2017) in conjunction with 2017 IEEE International Conference on Big Data (IEEE BigData 2017) December 14, 2017, Boston, MA, US

Ensuring Cyber-Security in Smart Railway Surveillance with SHIELD

Modern railways feature increasingly complex embedded computing systems for surveillance, that are moving towards fully wireless smart-sensors. Those systems are aimed at monitoring system status from a physical-security viewpoint, in order to detect intrusions and other environmental anomalies. However, the same systems used for physical-security surveillance are vulnerable to cyber-security threats, since they feature distributed hardware and software architectures often interconnected by ‘open networks’, like wireless channels and the Internet. In this paper, we show how the integrated approach to Security, Privacy and Dependability (SPD) in embedded systems provided by the SHIELD framework (developed within the EU funded pSHIELD and nSHIELD research projects) can be applied to railway surveillance systems in order to measure and improve their SPD level. SHIELD implements a layered architecture (node, network, middleware and overlay) and orchestrates SPD mechanisms based on ontology models, appropriate metrics and composability. The results of prototypical application to a real-world demonstrator show the effectiveness of SHIELD and justify its practical applicability in industrial settings

Semantic-based policy engineering for autonomic systems

This paper presents some important directions in the use of ontology-based semantics in achieving the vision of Autonomic Communications. We examine the requirements of Autonomic Communication with a focus on the demanding needs of ubiquitous computing environments, with an emphasis on the requirements shared with Autonomic Computing. We observe that ontologies provide a strong mechanism for addressing the heterogeneity in user task requirements, managed resources, services and context. We then present two complimentary approaches that exploit ontology-based knowledge in support of autonomic communications: service-oriented models for policy engineering and dynamic semantic queries using content-based networks. The paper concludes with a discussion of the major research challenges such approaches raise