3 research outputs found

    Quantitative analysis of distributed systems

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    PhD ThesisComputing Science addresses the security of real-life systems by using various security-oriented technologies (e.g., access control solutions and resource allocation strategies). These security technologies signficantly increase the operational costs of the organizations in which systems are deployed, due to the highly dynamic, mobile and resource-constrained environments. As a result, the problem of designing user-friendly, secure and high efficiency information systems in such complex environment has become a major challenge for the developers. In this thesis, firstly, new formal models are proposed to analyse the secure information flow in cloud computing systems. Then, the opacity of work flows in cloud computing systems is investigated, a threat model is built for cloud computing systems, and the information leakage in such system is analysed. This study can help cloud service providers and cloud subscribers to analyse the risks they take with the security of their assets and to make security related decision. Secondly, a procedure is established to quantitatively evaluate the costs and benefits of implementing information security technologies. In this study, a formal system model for data resources in a dynamic environment is proposed, which focuses on the location of different classes of data resources as well as the users. Using such a model, the concurrent and probabilistic behaviour of the system can be analysed. Furthermore, efficient solutions are provided for the implementation of information security system based on queueing theory and stochastic Petri nets. This part of research can help information security officers to make well judged information security investment decisions

    Performance Modelling and Evaluation of Enterprise Information Security Technologies

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    The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.By providing effective access control mechanisms, enterprise information security technologies have been proven successful in protecting the confidentiality of sensitive information in business organizations. However, such security mechanisms typically reduce the work productivity of the staff, by making them spend time working on non-project related tasks. Therefore, organizations have to invest a signification amount of capital in the information security technologies, and then to continue incurring additional costs. In this study, we investigate the performance of administrators in an information help desk, and the non-productive time (NPT) in an organization, resulting from the implementation of information security technologies. An approximate analytical solution is discussed first, and the loss of staff member productivity is quantified using non-productive time. Stochastic Petri nets are then used to provide simulation results. The presented study can help information security managers to make investment decisions, and to take actions toward reducing the cost of information security technologies, so that a balance is kept between information security expense, resource drain and effectiveness of security technologies

    Formal Verification of Secure Information Flow in Cloud Computing

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    Federated cloud systems increase the reliability and reduce the cost of computational support to an organization. However, the resulting combination of secure private clouds and less secure public clouds impacts on the overall security of the system as applications need to be located within di�erent clouds. In this paper, the entities of a federated cloud system as well as the clouds are assigned security levels of a given security lattice. Then a dynamic ow sensitive security model for a federated cloud system is introduced within which the Bell-LaPadula rules and cloud security rule can be captured. The rest of the paper demonstrates how Petri nets and the associated veri�cation techniques could be used to analyze the security of information ow in federated cloud systems
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