55,087 research outputs found

    User-centric Privacy Engineering for the Internet of Things

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    User privacy concerns are widely regarded as a key obstacle to the success of modern smart cyber-physical systems. In this paper, we analyse, through an example, some of the requirements that future data collection architectures of these systems should implement to provide effective privacy protection for users. Then, we give an example of how these requirements can be implemented in a smart home scenario. Our example architecture allows the user to balance the privacy risks with the potential benefits and take a practical decision determining the extent of the sharing. Based on this example architecture, we identify a number of challenges that must be addressed by future data processing systems in order to achieve effective privacy management for smart cyber-physical systems.Comment: 12 Page

    RiskREP: Risk-Based Security Requirements Elicitation and Prioritization (extended version)

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    Today, companies are required to be in control of the security of their IT assets. This is especially challenging in the presence of limited budgets and conflicting requirements. Here, we present Risk-Based Requirements Elicitation and Prioritization (RiskREP), a method for managing IT security risks by combining the results of a top-down requirements analysis with a bottom-up threat analysis. Top-down, it prioritizes security goals and from there derives verifiable requirements. Bottom-up, it analyzes architectures in order to identify security risks in the form of critical components. Linking these critical components to security requirements helps to analyze the effects of these requirements on business goals, and to prioritize security requirements. The security requirements also are the basis for deriving test cases for security analysis and compliance monitoring

    Evaluating Software Architectures: Development Stability and Evolution

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    We survey seminal work on software architecture evaluationmethods. We then look at an emerging class of methodsthat explicates evaluating software architectures forstability and evolution. We define architectural stabilityand formulate the problem of evaluating software architecturesfor stability and evolution. We draw the attention onthe use of Architectures Description Languages (ADLs) forsupporting the evaluation of software architectures in generaland for architectural stability in specific

    ArchOptions: A Real Options-Based Model for Predicting the Stability of Software Architectures

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    Architectural stability refers to the extent an architecture is flexible to endure evolutionary changes in stakeholders\' requirements and the environment. We assume that the primary goal of software architecture is to guide the system\'s evolution. We contribute to a novel model that exploits options theory to predict architectural stability. The model is predictive: it provides \"insights\" on the evolution of the software system based on valuing the extent an architecture can endure a set of likely evolutionary changes. The model builds on Black and Scholes financial options theory (Noble Prize wining) to value such extent. We show how we have derived the model: the analogy and assumptions made to reach the model, its formulation, and possible interpretations. We refer to this model as ArchOptions

    Architecture-based Qualitative Risk Analysis for Availability of IT Infrastructures

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    An IT risk assessment must deliver the best possible quality of results in a time-effective way. Organisations are used to customise the general-purpose standard risk assessment methods in a way that can satisfy their requirements. In this paper we present the QualTD Model and method, which is meant to be employed together with standard risk assessment methods for the qualitative assessment of availability risks of IT architectures, or parts of them. The QualTD Model is based on our previous quantitative model, but geared to industrial practice since it does not require quantitative data which is often too costly to acquire. We validate the model and method in a real-world case by performing a risk assessment on the authentication and authorisation system of a large multinational company and by evaluating the results w.r.t. the goals of the stakeholders of the system. We also perform a review of the most popular standard risk assessment methods and an analysis of which one can be actually integrated with our QualTD Model
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