1,721,236 research outputs found

    Security, privacy and trust : from innovation blocker to innovation enabler

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    This paper reflects on security, privacy and trust from the point of you of the innovation in information and communication technologies. It also considers social, economic and legal aspects that need to be taken into account in the development cycles of new technologies. Finally, the major research challenges, which need to be overcome to ensure the future of the digital world, protect people privacy and enable even more rapid innovation, have been discussed

    Privacy and security issues in a digital world

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    This chapter reviews the most important security and privacy issues of the modern digital world, emphasizing the issues brought by the concept of ambient intelligence. Furthermore, the chapter explains the organization of the book, describing which issues and related technologies are addressed by which chapters of the book

    Privacy-preserving digital rights management

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    DRM systems provide a means for protecting digital content, but at the same time they violate the privacy of users in a number of ways. This paper addresses privacy issues in DRM systems. The main challenge is how to allow a user to interact with the system in an anonymous/pseudonymous way, while preserving all security requirements of usual DRM systems. To achieve this goal, the paper proposes a set of protocols and methods for managing user identities and interactions with the system during the process of acquiring and consuming digital content. Furthermore, a method that supports anonymous transfer of licenses is discussed. It allows a user to transfer a piece of content to another user without the content provider being able to link the two users. Finally, the paper demonstrates how to extend the rights of a given user to a group of users in a privacy preserving way. The extension hides the group structure from the content provider and at the same time provides privacy among the members of the group

    Enhancing privacy for digital rights management

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    This chapter addresses privacy issues in DRM systems. These systems provide a means of protecting digital content, but may violate the privacy of users in that the content they purchase and their actions in the system can be linked to specific users. The chapter proposes a privacy-preserving DRM system in which users interact with the system in an pseudonymous way, while preserving all security requirements of usual DRM systems. To achieve this goal, a set of protocols and methods is proposed for managing user identities and interactions with the basic system during acquisition and consumption of digital content. Privacy-enhancing extensions are also proposed. Unlinkable purchase of content, which prevents content providers from linking all content purchased by a given user, is discussed. Moreover, a method which allows a user to transfer content rights to another user without the two users being linked by the content provider is provided

    Towards trustworthy health platform cloud

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    To address today’s major concerns of health service providers regarding security, resilience and data protection when moving on the cloud, we propose an approach to build a trustworthy healthcare platform cloud, based on a trustworthy cloud infrastructure. This paper first highlights the main security and privacy risks of market available commodity clouds, and outlines security and privacy requirements of a trustworthy health platform cloud, on top of which to deploy various health applications, in compliance with EU data protection legislation. Results from the recent EU TClouds project will be described as a possible solution towards trustworthy cloud architecture, based on a federated cloud-of-clouds, while enforcing security, resilience and data protection in various cloud layers for provisioning trustworthy IaaS, PaaS and SaaS healthcare services

    ON-LINE ADAPTIVE CLUSTERING FOR PROCESS MONITORING AND FAULT DETECTION

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    An adaptive clustering procedure specifically designed for process monitoring, fault detection and isolation is presented in this paper. The key feature of the proposed procedure can be identified as its underlying capability to detect novelties in the system's mode of operation and, thus, to identify previously unseen functioning modes of the process. Once a novelty is detected, relevant informations are used to enrich the knowledge-base of the algorithm and as a result the proposed clustering procedure evolves and learns the new features of the monitored process in accordance with the available process data. The suggested clustering procedure is theoretically illustrated and its effectiveness has been investigated experimentally. Particularly, the on-line implementation of the algorithm and its integration with a fault detection expert system have been considered by making reference to a pneumatic process

    Move Away From Me! User Repulsion Under Proximity-Induced Interference in OWC Systems

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    As communication systems shift towards ever higher frequency bands, the propagation of signal between a user device and an infrastructure becomes more susceptible to nearby obstacles, including other users. As an extreme case, we consider such proximity-induced channel impairments in indoor optical wireless communication (OWC) systems. We set up a model, where the achievable OWC data rate depends not only on the relative position between a user device and an infrastructure access point, but also on the location of other users modeled as proximal interferers. We use a reinforcement learning (RL) approach to enable users to find suitable positions, both relative to the access point and to each other, that maximise the sum-rate capacity of the system. Our initial results demonstrate a feasibility of RL-based approach that enables indoor OWC users to find suitable balance between establishing high-rate direct link while remaining distant from proximal interferers
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