3,066 research outputs found

    Seamless and Secure VR: Adapting and Evaluating Established Authentication Systems for Virtual Reality

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    Virtual reality (VR) headsets are enabling a wide range of new opportunities for the user. For example, in the near future users may be able to visit virtual shopping malls and virtually join international conferences. These and many other scenarios pose new questions with regards to privacy and security, in particular authentication of users within the virtual environment. As a first step towards seamless VR authentication, this paper investigates the direct transfer of well-established concepts (PIN, Android unlock patterns) into VR. In a pilot study (N = 5) and a lab study (N = 25), we adapted existing mechanisms and evaluated their usability and security for VR. The results indicate that both PINs and patterns are well suited for authentication in VR. We found that the usability of both methods matched the performance known from the physical world. In addition, the private visual channel makes authentication harder to observe, indicating that authentication in VR using traditional concepts already achieves a good balance in the trade-off between usability and security. The paper contributes to a better understanding of authentication within VR environments, by providing the first investigation of established authentication methods within VR, and presents the base layer for the design of future authentication schemes, which are used in VR environments only

    PassViz: A Visualisation System for Analysing Leaked Passwords

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    Passwords remain the most widely used form of user authentication, despite advancements in other methods. However, their limitations, such as susceptibility to attacks, especially weak passwords defined by human users, are well-documented. The existence of weak human-defined passwords has led to repeated password leaks from websites, many of which are of large scale. While such password leaks are unfortunate security incidents, they provide security researchers and practitioners with good opportunities to learn valuable insights from such leaked passwords, in order to identify ways to improve password policies and other security controls on passwords. Researchers have proposed different data visualisation techniques to help analyse leaked passwords. However, many approaches rely solely on frequency analysis, with limited exploration of distance-based graphs. This paper reports PassViz, a novel method that combines the edit distance with the t-SNE (t-distributed stochastic neighbour embedding) dimensionality reduction algorithm for visualising and analysing leaked passwords in a 2-D space. We implemented PassViz as an easy-to-use command-line tool for visualising large-scale password databases, and also as a graphical user interface (GUI) to support interactive visual analytics of small password databases. Using the "000webhost" leaked database as an example, we show how PassViz can be used to visually analyse different aspects of leaked passwords and to facilitate the discovery of previously unknown password patterns. Overall, our approach empowers researchers and practitioners to gain valuable insights and improve password security through effective data visualisation and analysis

    A virtual environment to support the distributed design of large made-to-order products

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    An overview of a virtual design environment (virtual platform) developed as part of the European Commission funded VRShips-ROPAX (VRS) project is presented. The main objectives for the development of the virtual platform are described, followed by the discussion of the techniques chosen to address the objectives, and finally a description of a use-case for the platform. Whilst the focus of the VRS virtual platform was to facilitate the design of ROPAX (roll-on passengers and cargo) vessels, the components within the platform are entirely generic and may be applied to the distributed design of any type of vessel, or other complex made-to-order products

    Aggregating Heterogeneous Computing Resources

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    The project's core objective is to develop a sophisticated web portal that acts as a comprehensive platform for optimizing resource allocation and improving system administration tasks. Key goals include streamlining resource management processes, enhancing resource utilization, monitoring hardware performance, and boosting system reliability. The envisioned web portal is designed to merge data from multiple sources into a unified interface, granting administrators a real-time overview of the diverse computing nodes within the openlab network. Automation will play a significant role, enabling the portal to gather data from internal lists and deployment tools, potentially utilizing scripts and databases for comprehensive machine information. This consolidated data could be harnessed to generate valuable reports and notifications about user expirations, thereby aiding administrators in effective resource management. Moreover, the web portal will offer manual functionalities, allowing administrators to manually add or remove non-managed machines, include extra users, and engage directly with specific machine users via broadcast emails. This flexibility contributes to the network's adaptability to changing project needs and resource demands. The significance of this project stems from its potential to enhance the efficiency and effectiveness of system administrators. By centralizing resource management through the portal, administrators can align resources with project requirements, minimize wastage, optimize workload distribution, and ultimately bolster system stability. These enhancements, in turn, foster a more resilient and dependable computing environment, pivotal for the successful execution of projects within the intricate openlab network

    Website Architecture, Information Flows and Cognitive Models

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    This paper explores the relation between new digital genres configuration and their users’ previous knowledge patterns from an interlinguistic perspective. More precisely, first we analyse two models that underlie the formal architecture of websites. For that purpose we introduce diverse pieces of software that allow for visualization of website organization in terms of nodes and links. Then, we show the most entrenched metaphoric models that provide cognitive tools for users to understand website configuration and usage, in an English speaking culture. Finally, we discuss to what extent these models can be transferred and learned by users from other cultures, particularly in Spanish speaking communitie

    Tool to automatically extract and import data from OpenStreetMap into relational databases

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    [Resumen]: El objetivo de este trabajo de fin de grado es desarrollar una herramienta la cuál permita extraer e importar automáticamente datos de OpenStreetMap (OSM) a bases de datos relacionados de manera rápida y sencilla. Para lograr este objetivo, se definió un Domain Specific Language (DSL) que permitiera simplificar las peticiones para obtener los datos. A continuación, se desarrolló una librería capaz de interpretar y ejecutar el lenguaje diseñado y, finalmente, se creó una aplicación web que simplica el uso de la librería previamente mencionada. En el desarrollo, se usa PostgreSQL como almacén de datos, así como Leaflet para visualizar los datos obtenidos en mapas. Se utiliza Vue.js para implementar el frontend y Spring para el backend. El trabajo de fin de grado se gestiona siguiendo una metodología iterativa e incremental.[Abstract]: The objective of this end-of-degree project is to develop a tool which allows to extract and import automatically data from OpenStreetMap (OSM) to relational databases quickly and easily. In order to achieve this goal, we defined a Domain Specific Language (DSL) which simplifies the requests to obtain the data and insert it on the corresponding database. Following up a library capable of interpreting and executing the language was designed, and finally a small web application to simplify the use of the previously mentioned library was implemented. In the development, PostgreSQL is used for the storage of information, as well as Leaflet for data visualization on maps. Vue.js is used for the frontend as well as Spring for the backend. The end-of-degree work is managed following an iterative and incremental methodology for software development.Traballo fin de grao (UDC.FIC). Enxeñaría Informática. Curso 2022/202
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