Densifying the sparse cloud SimSaaS: The need of a synergy among agent-directed simulation, SimSaaS and HLA

Modelling & Simulation (M&S) is broadly used in real scenarios where making physical modifications could be highly expensive. With the so-called Simulation Software-as-a-Service (SimSaaS), researchers could take advantage of the huge amount of resource that cloud computing provides. Even so, studying and analysing a problem through simulation may need several simulation tools, hence raising interoperability issues. Having this in mind, IEEE developed a standard for interoperability among simulators named High Level Architecture (HLA). Moreover, the multi-agent system approach has become recognised as a convenient approach for modelling and simulating complex systems. Despite all the recent works and acceptance of these technologies, there is still a great lack of work regarding synergies among them. This paper shows by means of a literature review this lack of work or, in other words, the sparse Cloud SimSaaS. The literature review and the resulting taxonomy are the main contributions of this paper, as they provide a research agenda illustrating future research opportunities and trends

Core elements in information security accountability in the cloud

This paper proposes 9 core elements of information security accountability in the area of cloud computing. The core elements were determined via a series of 18 case studies with Omani government organisations that were actively using and/or providing cloud computing. 36 interviews were conducted and then analysed using a grounded theory methodology As a result of the analysis, responsibility, transparency, assurance, remediation, accountability support environment, flexible change process, collaboration, mechanisms and commitment to external criteria. The research also found that the emphasis on specific core elements is context-dependent and that there was considerable variation in emphasis amongst the case study organisations

A Conceptual Framework for Accountability in Cloud Computing Service Provision

This paper uses a comprehensive review of the academic and professional literature in relation to accountability in the area of cloud computing service provision. It identifies four key conceptual factors that are necessary for an organisation to be considered as accountable. The four factors were found to be: responsibility, assurance, transparency and remediation. A key finding of the paper is that in order to be considered as an accountable cloud service provider, all four factors need to be implemented and be demonstrable by the organisation

From the Ground to the Cloud: Towards an Integrated Transportation Simulation Platform

Actualmente, as universidades e as empresas de todo o mundo têm uma enorme necessidade de metodologias que permitam simular e modelar. No que diz respeito ao tráfego e transportes, fazer mudanças físicas nas redes reais de trânsito poderia ser altamente dispendioso, estando dependente de decisões políticas e podendo ser altamente prejudicial ao meio ambiente. Por isso, a simulação é muito usada em tais cenários.No entanto, o uso de simulação para estudar ou analisar um domínio ou problema específico pode não ser trivial e podem ser necessárias diversas ferramentas, com diferentes resoluções e perspectivas de domínio, causando o aumento de problemas relacionados com interoperabilidade. Com as recentes evoluções no âmbito do cloud computing e do Software-as-a-Service (SaaS), existe um novo paradigma onde o software de simulação é usado sob a forma de serviços. Assim, o Simulation Software-as-a-Service (SimSaaS) é muito benéfico para melhor explorar o grande número de plataformas e armazenamento que a simulação precisa, e que o Cloud Computing pode fornecer.Para ultrapassar os problemas supra mencionados, o principal objetivo desta dissertação foi apresentar o atual estado da arte na área e propor uma plataforma de simulação de transporte direcionada a agentes, através da cloud, por meio de serviços. Utilizou-se o standard HLA (High Level Architecture) da IEEE para interoperabilidade de simuladores e agentes para controlo e coordenação.Para que tal seja possível, foi imperativo construir, através de uma revisão sistemática da literatura, o conhecimento necessário para desenvolver a plataforma. Os estudos revistos foram comparados e sumarisados na forma de uma taxonomia do trabalho de pesquisa que representa as oportunidades de pesquisa mais importantes para os próximos anos. A arquitectura e os principais cenários de utilização da plataforma foram detalhados. A partir daí, o subconjunto de características mais importantes foi seleccionado na forma de uma prova de conceito. A sua implementação foi explicada indicando o software utilizado (OpenStack, Pitch pRTI, SUMO e EBPS) e o cenário de simulação escolhido. Por fim, foram conduzidas algumas experiências para se perceber a melhor abordagem no controlo e lançamento de máquinas virtuais. Esta análise é importante para se obter uma melhor performance em simulações utilizando a infraestrutura desenvolvida.Nowadays, universities and companies all around the world have a huge need for simulation and modelling methodologies. In the particular case of traffic and transportation, making physical modifications in the real traffic networks could be highly expensive, dependent on political decisions and could be highly disruptive to the environment. Therefore, simulation is broadly used in such scenarios.However, while studying a specific domain or problem, analysis through simulation may not be trivial and very often requires several simulation tools, with different resolutions and domain perspectives, hence raising interoperability issues. With the recent evolutions in cloud computing and Software-as-a-Service (SaaS), there is a new paradigm where simulation software is used in the form of services. So, Simulation Software-as-a-Service (SimSaaS) is very beneficial to better exploit the huge amount of platforms and storage that simulation needs per se - and Cloud Computing is able to provide such resources.To address issues arising in this novel perspective the main goal of this dissertation was to present the current state of the art in the field and to propose an agent-directed transportation simulation platform, through the cloud, by means of services. It was used the IEEE standard HLA (High Level Architecture) for simulator interoperability and agents for controlling and coordination.To do so, it was necessary to build, through a systematic literature review, the body of knowledge needed to develop such platform. The reviewed studies were compared and summarised leading to the creation of a taxonomy of the research work, which represent the front research opportunities for the next years. The main scenarios and architecture of the platform were detailed. The proof of concept's implementation was further explained including the used software (OpenStack, Pitch pRTI, SUMO and EBPS) and the chosen simulation scenario. Finally, some experiments were made about the best approach to manage and launch VMs (Virtual Machines). Such analysis is very important to have better performance in simulations under the developed infrastructure

Multi-Stakeholder Consensus Decision-Making Framework Based on Trust and Risk

Indiana University-Purdue University Indianapolis (IUPUI)This thesis combines human and machine intelligence for consensus decision-making, and it contains four interrelated research areas. Before presenting the four research areas, this thesis presents a literature review on decision-making using two criteria: trust and risk. The analysis involves studying the individual and the multi-stakeholder decision-making. Also, it explores the relationship between trust and risk to provide insight on how to apply them when making any decision. This thesis presents a grouping procedure of the existing trust-based multi-stakeholder decision-making schemes by considering the group decision-making process and models. In the first research area, this thesis presents the foundation of building multi-stakeholder consensus decision-making (MSCDM). This thesis describes trust-based multi-stakeholder decision-making for water allocation to help the participants select a solution that comes from the best model. Several criteria are involved when deciding on a solution such as trust, damage, and benefit. This thesis considers Jain's fairness index as an indicator of reaching balance or equality for the stakeholder's needs. The preferred scenario is when having a high trust, low damages and high benefits. The worst scenario involves having low trust, high damage, and low benefit. The model is dynamic by adapting to the changes over time. The decision to select is the solution that is fair for almost everyone. In the second research area, this thesis presents a MSCDM, which is a generic framework that coordinates the decision-making rounds among stakeholders based on their influence toward each other, as represented by the trust relationship among them. This thesis describes the MSCDM framework that helps to find a decision the stakeholders can agree upon. Reaching a consensus decision might require several rounds where stakeholders negotiate by rating each other. This thesis presents the results of implementing MSCDM and evaluates the effect of trust on the consensus achievement and the reduction in the number of rounds needed to reach the final decision. This thesis presents Rating Convergence in the implemented MSCDM framework, and such convergence is a result of changes in the stakeholders' rating behavior in each round. This thesis evaluates the effect of trust on the rating changes by measuring the distance of the choices made by the stakeholders. Trust is useful in decreasing the distances. In the third research area, this thesis presents Rating Convergence in the implemented MSCDM framework, and such convergence is a result of changes in stakeholders' rating behavior in each round. This thesis evaluates the effect of trust on the rating changes by measuring the perturbation in the rating matrix. Trust is useful in increasing the rating matrix perturbation. Such perturbation helps to decrease the number of rounds. Therefore, trust helps to increase the speed of agreeing upon the same decision through the influence. In the fourth research area, this thesis presents Rating Aggregation operators in the implemented MSCDM framework. This thesis addresses the need for aggregating the stakeholders' ratings while they negotiate on the round of decisions to compute the consensus achievement. This thesis presents four aggregation operators: weighted sum (WS), weighted product (WP), weighted product similarity measure (WPSM), and weighted exponent similarity measure (WESM). This thesis studies the performance of those aggregation operators in terms of consensus achievement and the number of rounds needed. The consensus threshold controls the performance of these operators. The contribution of this thesis lays the foundation for developing a framework for MSCDM that facilitates reaching the consensus decision by accounting for the stakeholders' influences toward one another. Trust represents the influence

The Proceedings of 15th Australian Information Security Management Conference, 5-6 December, 2017, Edith Cowan University, Perth, Australia

Conference Foreword The annual Security Congress, run by the Security Research Institute at Edith Cowan University, includes the Australian Information Security and Management Conference. Now in its fifteenth year, the conference remains popular for its diverse content and mixture of technical research and discussion papers. The area of information security and management continues to be varied, as is reflected by the wide variety of subject matter covered by the papers this year. The papers cover topics from vulnerabilities in “Internet of Things” protocols through to improvements in biometric identification algorithms and surveillance camera weaknesses. The conference has drawn interest and papers from within Australia and internationally. All submitted papers were subject to a double blind peer review process. Twenty two papers were submitted from Australia and overseas, of which eighteen were accepted for final presentation and publication. We wish to thank the reviewers for kindly volunteering their time and expertise in support of this event. We would also like to thank the conference committee who have organised yet another successful congress. Events such as this are impossible without the tireless efforts of such people in reviewing and editing the conference papers, and assisting with the planning, organisation and execution of the conference. To our sponsors, also a vote of thanks for both the financial and moral support provided to the conference. Finally, thank you to the administrative and technical staff, and students of the ECU Security Research Institute for their contributions to the running of the conference