112 research outputs found

    FinBook: literary content as digital commodity

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    This short essay explains the significance of the FinBook intervention, and invites the reader to participate. We have associated each chapter within this book with a financial robot (FinBot), and created a market whereby book content will be traded with financial securities. As human labour increasingly consists of unstable and uncertain work practices and as algorithms replace people on the virtual trading floors of the worlds markets, we see members of society taking advantage of FinBots to invest and make extra funds. Bots of all kinds are making financial decisions for us, searching online on our behalf to help us invest, to consume products and services. Our contribution to this compilation is to turn the collection of chapters in this book into a dynamic investment portfolio, and thereby play out what might happen to the process of buying and consuming literature in the not-so-distant future. By attaching identities (through QR codes) to each chapter, we create a market in which the chapter can ‘perform’. Our FinBots will trade based on features extracted from the authors’ words in this book: the political, ethical and cultural values embedded in the work, and the extent to which the FinBots share authors’ concerns; and the performance of chapters amongst those human and non-human actors that make up the market, and readership. In short, the FinBook model turns our work and the work of our co-authors into an investment portfolio, mediated by the market and the attention of readers. By creating a digital economy specifically around the content of online texts, our chapter and the FinBook platform aims to challenge the reader to consider how their personal values align them with individual articles, and how these become contested as they perform different value judgements about the financial performance of each chapter and the book as a whole. At the same time, by introducing ‘autonomous’ trading bots, we also explore the different ‘network’ affordances that differ between paper based books that’s scarcity is developed through analogue form, and digital forms of books whose uniqueness is reached through encryption. We thereby speak to wider questions about the conditions of an aggressive market in which algorithms subject cultural and intellectual items – books – to economic parameters, and the increasing ubiquity of data bots as actors in our social, political, economic and cultural lives. We understand that our marketization of literature may be an uncomfortable juxtaposition against the conventionally-imagined way a book is created, enjoyed and shared: it is intended to be

    The Daily Egyptian, April 20, 1981

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    The Daily Egyptian, April 20, 1981

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    The Daily Egyptian, April 20, 1981

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    The Daily Egyptian, April 20, 1981

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    Understanding Quantum Technologies 2022

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    Understanding Quantum Technologies 2022 is a creative-commons ebook that provides a unique 360 degrees overview of quantum technologies from science and technology to geopolitical and societal issues. It covers quantum physics history, quantum physics 101, gate-based quantum computing, quantum computing engineering (including quantum error corrections and quantum computing energetics), quantum computing hardware (all qubit types, including quantum annealing and quantum simulation paradigms, history, science, research, implementation and vendors), quantum enabling technologies (cryogenics, control electronics, photonics, components fabs, raw materials), quantum computing algorithms, software development tools and use cases, unconventional computing (potential alternatives to quantum and classical computing), quantum telecommunications and cryptography, quantum sensing, quantum technologies around the world, quantum technologies societal impact and even quantum fake sciences. The main audience are computer science engineers, developers and IT specialists as well as quantum scientists and students who want to acquire a global view of how quantum technologies work, and particularly quantum computing. This version is an extensive update to the 2021 edition published in October 2021.Comment: 1132 pages, 920 figures, Letter forma

    Forensic imaging and analysis of Apple iOS devices

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    In this thesis we present our research on digital forensics on the iOS platform, structured along three areas: forensic imaging; forensic analysis; and anti-forensic techniques. In the field of forensic imaging, we demonstrate that the iPad can control external storage devices attached via USB, using Apple's Camera Connection Kit adapters. This results in a 30x speed boost compared to the traditional Wi-Fi transfer. In terms of forensic analysis, we found that printing documents wirelessly via AirPrint leaves a trace in the device that, when recovered, reveals the full contents of the documents that have been printed. Finally, in terms of anti-forensics, we created a proof-of-concept tool that disables a number of system services used by forensic tools to retrieve data. The tool also applies other hardening measures aimed at preventing the abuse of the services that remain activated.Esta tesis presenta nuestra investigación sobre informática forense en la plataforma iOS, estructurada en tres áreas: adquisición forense; análisis forense; y técnicas anti-forenses. En el campo de adquisición forense, demostramos que el iPad puede controlar dispositivos externos de almacenamiento conectados vía USB, usando los adaptadores del Apple Camera Connection Kit. Esto supone una velocidad de transferencia 30 veces superior a la transferencia vía Wi-Fi. En cuanto al análisis forense, observamos que la impresión inalámbrica de documentos vía AirPrint deja un rastro en el dispositivo que, al ser recuperado, revela el contenido completo de los documentos que hayan sido impresos. Por último, en el ámbito de técnicas anti-forenses implementamos una herramienta como prueba de concepto que deshabilita determinados servicios del sistema usados por las herramientas forenses para extraer datos del dispositivo. La herramienta también aplica otras medidas de seguridad para prevenir la explotación de los servicios que continúen activados.Aquesta tesi presenta la nostra investigació sobre informàtica forense a la plataforma iOS, estructurada en tres àrees: adquisició forense; anàlisi forense; i tècniques antiforenses. En el camp d'adquisició forense, demostrem que l'iPad pot controlar dispositius externs d'emmagatzematge connectats via USB, usant els adaptadors de l'Apple Camera Connection Kit. Això suposa una velocitat de transferència 30 vegades superior a la transferència via Wi-Fi. Pel que fa a l'anàlisi forense, observem que la impressió sense fil de documents a partir d'AirPrint deixa un rastre al dispositiu que, en ser recuperat, revela el contingut complet dels documents que hagin estat impresos. Finalment, en l'àmbit de tècniques antiforenses implementem una eina com a prova de concepte que deshabilita determinats serveis del sistema usats per les eines forenses per a extreure dades del dispositiu. L'eina també aplica altres mesures de seguretat per a prevenir l'explotació dels serveis que continuïn activats.Tecnologías de la información y de rede

    Security and privacy of resource constrained devices

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    The thesis aims to present a comprehensive and holistic overview on cybersecurity and privacy & data protection aspects related to IoT resource-constrained devices. Chapter 1 introduces the current technical landscape by providing a working definition and architecture taxonomy of ‘Internet of Things’ and ‘resource-constrained devices’, coupled with a threat landscape where each specific attack is linked to a layer of the taxonomy. Chapter 2 lays down the theoretical foundations for an interdisciplinary approach and a unified, holistic vision of cybersecurity, safety and privacy justified by the ‘IoT revolution’ through the so-called infraethical perspective. Chapter 3 investigates whether and to what extent the fast-evolving European cybersecurity regulatory framework addresses the security challenges brought about by the IoT by allocating legal responsibilities to the right parties. Chapters 4 and 5 focus, on the other hand, on ‘privacy’ understood by proxy as to include EU data protection. In particular, Chapter 4 addresses three legal challenges brought about by the ubiquitous IoT data and metadata processing to EU privacy and data protection legal frameworks i.e., the ePrivacy Directive and the GDPR. Chapter 5 casts light on the risk management tool enshrined in EU data protection law, that is, Data Protection Impact Assessment (DPIA) and proposes an original DPIA methodology for connected devices, building on the CNIL (French data protection authority) model

    Security and Privacy of Resource Constrained Devices

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    The thesis aims to present a comprehensive and holistic overview on cybersecurity and privacy & data protection aspects related to IoT resource-constrained devices. Chapter 1 introduces the current technical landscape by providing a working definition and architecture taxonomy of ‘Internet of Things’ and ‘resource-constrained devices’, coupled with a threat landscape where each specific attack is linked to a layer of the taxonomy. Chapter 2 lays down the theoretical foundations for an interdisciplinary approach and a unified, holistic vision of cybersecurity, safety and privacy justified by the ‘IoT revolution’ through the so-called infraethical perspective. Chapter 3 investigates whether and to what extent the fast-evolving European cybersecurity regulatory framework addresses the security challenges brought about by the IoT by allocating legal responsibilities to the right parties. Chapters 4 and 5 focus, on the other hand, on ‘privacy’ understood by proxy as to include EU data protection. In particular, Chapter 4 addresses three legal challenges brought about by the ubiquitous IoT data and metadata processing to EU privacy and data protection legal frameworks i.e., the ePrivacy Directive and the GDPR. Chapter 5 casts light on the risk management tool enshrined in EU data protection law, that is, Data Protection Impact Assessment (DPIA) and proposes an original DPIA methodology for connected devices, building on the CNIL (French data protection authority) model

    European Information Technology Observatory 1999

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