A Declarative Framework for Specifying and Enforcing Purpose-aware Policies

Purpose is crucial for privacy protection as it makes users confident that their personal data are processed as intended. Available proposals for the specification and enforcement of purpose-aware policies are unsatisfactory for their ambiguous semantics of purposes and/or lack of support to the run-time enforcement of policies. In this paper, we propose a declarative framework based on a first-order temporal logic that allows us to give a precise semantics to purpose-aware policies and to reuse algorithms for the design of a run-time monitor enforcing purpose-aware policies. We also show the complexity of the generation and use of the monitor which, to the best of our knowledge, is the first such a result in literature on purpose-aware policies.Comment: Extended version of the paper accepted at the 11th International Workshop on Security and Trust Management (STM 2015

iPOJO flow:a declarative service workflow architecture for ubiquitous cloud applications

The growth of innovative services backed up by various sensors and devices provides an unprecedented potential for ubiquitous computing applications and systems. However, in order to benefit from the recent developments, the current service middleware technology needs a catch-up of being able to fully support interactions among the services. OSGi is considered as a viable service framework solution due to its ability to deal with the dynamism inherent with ubiquitous cloud environments. iPOJO has also emerged as a service component model that simplifies the development of OSGi applications. However, the technology runs short of providing adequate support to foster declarative service compositions of realistic interaction topologies. Noticing this deficiency, we propose an iPOJO component-based service workflow architecture, named iPOJO Flow, where component services can easily be composed together to form realistic, complicated applications. Along with the architectural design, the paper also introduces a new DSL to specify service workflow topologies in a declarative way. The effectiveness of our proposed approach is validated through a prototype demonstration, comparative design analysis, and performance experiments

Tools and techniques for analysing the impact of information security

PhD ThesisThe discipline of information security is employed by organisations to protect the confidentiality, integrity and availability of information, often communicated in the form of information security policies. A policy expresses rules, constraints and procedures to guard against adversarial threats and reduce risk by instigating desired and secure behaviour of those people interacting with information legitimately. To keep aligned with a dynamic threat landscape, evolving business requirements, regulation updates, and new technologies a policy must undergo periodic review and change. Chief Information Security Officers (CISOs) are the main decision makers on information security policies within an organisation. Making informed policy modifications involves analysing and therefore predicting the impact of those changes on the success rate of business processes often expressed as workflows. Security brings an added burden to completing a workflow. Adding a new security constraint may reduce success rate or even eliminate it if a workflow is always forced to terminate early. This can increase the chances of employees bypassing or violating a security policy. Removing an existing security constraint may increase success rate but may may also increase the risk to security. A lack of suitably aimed impact analysis tools and methodologies for CISOs means impact analysis is currently a somewhat manual and ambiguous procedure. Analysis can be overwhelming, time consuming, error prone, and yield unclear results, especially when workflows are complex, have a large workforce, and diverse security requirements. This thesis considers the provision of tools and more formal techniques specific to CISOs to help them analyse the impact modifying a security policy has on the success rate of a workflow. More precisely, these tools and techniques have been designed to efficiently compare the impact between two versions of a security policy applied to the same workflow, one before, the other after a policy modification. This work focuses on two specific types of security impact analysis. The first is quantitative in nature, providing a measure of success rate for a security constrained workflow which must be executed by employees who may be absent at runtime. This work considers quantifying workflow resiliency which indicates a workflow’s expected success rate assuming the availability of employees to be probabilistic. New aspects of quantitative resiliency are introduced in the form of workflow metrics, and risk management techniques to manage workflows that must work with a resiliency below acceptable levels. Defining these risk management techniques has led to exploring the reduction of resiliency computation time and analysing resiliency in workflows with choice. The second area of focus is more qualitative, in terms of facilitating analysis of how people are likely to behave in response to security and how that behaviour can impact the success rate of a workflow at a task level. Large amounts of information from disparate sources exists on human behavioural factors in a security setting which can be aligned with security standards and structured within a single ontology to form a knowledge base. Consultations with two CISOs have been conducted, whose responses have driven the implementation of two new tools, one graphical, the other Web-oriented allowing CISOs and human factors experts to record and incorporate their knowledge directly within an ontology. The ontology can be used by CISOs to assess the potential impact of changes made to a security policy and help devise behavioural controls to manage that impact. The two consulted CISOs have also carried out an evaluation of the Web-oriented tool. vii