Recent trends in applying TPM to cloud computing

Trusted platform modules (TPM) have become important safe‐guards against variety of software‐based attacks. By providing a limited set of cryptographic services through a well‐defined interface, separated from the software itself, TPM can serve as a root of trust and as a building block for higher‐level security measures. This article surveys the literature for applications of TPM in the cloud‐computing environment, with publication dates comprised between 2013 and 2018. It identifies the current trends and objectives of this technology in the cloud, and the type of threats that it mitigates. Toward the end, the main research gaps are pinpointed and discussed. Since integrity measurement is one of the main usages of TPM, special attention is paid to the assessment of run time phases and software layers it is applied to.</p

The science-policy interfaces of the European network for observing our changing planet : From Earth Observation data to policy-oriented decisions

This paper reports on major outcomes of the ERA-PLANET (The European network for observing our changing planet) project, which was funded under Horizon 2020 ERA-net co-funding scheme. ERA-PLANET strengthened the European Research Area in the domain of Earth Observation (EO) in coherence with the European partici-pation to Group on Earth Observation and the Copernicus European Union's Earth Observation programme. ERA -PLANET was implemented through four projects focused on smart cities and resilient societies (SMURBS), resource efficiency and environmental management (GEOEssential), global changes and environmental treaties (iGOSP) and polar areas and natural resources (iCUPE). These projects developed specific science-policy workflows and interfaces to address selected environmental policy issues and design cost-effective strategies aiming to achieve targeted objectives. Key Enabling Technologies were implemented to enhancing 'data to knowledge' transition for supporting environmental policy making. Data cube technologies, the Virtual Earth Laboratory, Earth Observation ontologies and Knowledge Platforms were developed and used for such applications.SMURBS brought a substantial contribution to resilient cities and human settlements topics that were adopted by GEO as its 4th engagement priority, bringing the urban resilience topic in the GEO agenda on par with climate change, sustainable development and disaster risk reduction linked to environmental policies. GEOEssential is contributing to the development of Essential Variables (EVs) concept, which is encouraging and should allow the EO community to complete the description of the Earth System with EVs in a close future. This will clearly improve our capacity to address intertwined environmental and development policies as a Nexus.iGOSP supports the implementation of the GEO Flagship on Mercury (GOS4M) and the GEO Initiative on POPs (GOS4POPs) by developing a new integrated approach for global real-time monitoring of environmental quality with respect to air, water and human matrices contamination by toxic substances, like mercury and persistent organic pollutants. iGOSP developed end-user-oriented Knowledge Hubs that provide data repository systems integrated with data management consoles and knowledge information systems.The main outcomes from iCUPE are the novel and comprehensive data sets and a modelling activity that contributed to delivering science-based insights for the Arctic region. Applications enable defining and moni-toring of Arctic Essential Variables and sets up processes towards UN2030 SDGs that include health (SDG 3), clean water resources and sanitation (SDGs 6 and 14).Peer reviewe

Bitproperty

Property is the law of lists and ledgers. County land records, stock certificate entries, mortgage registries, UCC filings on personal property, United States Copyright and Patent registries of interests in intellectual property, bank accounts, domain name systems, and consumers’ Kindle eBook collections in the cloud — all are merely entries in a list, determining who owns what.Each such list has suffered under a traditional limitation. To prevent falsification or duplication, a single entity must maintain the list, and users must trust (and pay) that entity. As a result, transactions must proceed at significant expense and delay. Yet zero or near-zero expense is the fuel of internet scalability. Until technologies get cheap and fast enough, they cannot benefit from the full power of the internet. Property transactions have not yet truly seen an internet revolution because they are constrained by the cost of creating centralized trusted authorities.This article retheorizes the contours of digital property if that central constraint were removed. There is every reason to believe it can be. A spate of interest in cryptocurrencies has driven the development of a series of technologies for creating public, cryptographically secure ledgers of property interests that do not rely on trust in a specific entity to curate the list. Previously, the digital objects that users could buy and sell online were not rivalrous in the same way as offline physical objects, unless some centralized entity such as a social network, digital currency issuer, or game company served the function of trusted list curator. Trustless public ledgers change this dynamic. Counterparties can hand one another digital, rivalrous objects in the same way that they used to hand each other gold bars or dollar bills. No intermediary or curator is needed.Trustless public ledgers can help to reshape property law online. They offer the kind of near-zero transaction costs that have provoked radical disruptive innovation across the internet. With near-zero transaction costs, online property transactions can finally benefit from the huge scaling effects of internet technologies.In addition, the advent of this disruptive technology provides an opportunity to more deeply theorize property interests in information environments. Property online is anemic. Consumers control few online resources and own even less. This is in no small part due to antiquated notions of property as the law of physical, tangible resources. With the advent of new technology that can create digital, scarce, and rival intangible assets, these basic assumptions should be reexamined, discarded, and replaced with a theory of property as an information communication and storage system. That is the project of this piece

Standards in Disruptive Innovation: Assessment Method and Application to Cloud Computing

Die Dissertation schlägt ein konzeptionelles Informationsmodell und eine Methode zur Bewertung von Technologie-Standards im Kontext von Disruptiven Innovationen vor. Das konzeptionelle Informationsmodell stellt die Grundlage zur Strukturierung relevanter Informationen dar. Die Methode definiert ein Prozessmodell, das die Instanziierung des Informationsmodells für verschiedenen Domänen beschreibt und Stakeholder bei der Klassifikation und Evaluation von Technologie-Standards unterstützt

Decentralized vs. Distributed Organization: Blockchain, Machine Learning and the Future of the Digital Platform

The terms decentralized organization and distributed organization are often used interchangeably, despite describing two distinct phenomena. I propose distinguishing decentralization, as the dispersion of organizational communications, from distribution, as the dispersion of organizational decision-making. Organizations can be distributed without being decentralized (and vice versa), and having multiple management layers directly affects only distribution – not decentralization. This proposed distinction has implications for understanding the growth of digital platforms (e.g. amazon.com), which dominate the global economy in the 21st century. While prominent platforms typically use machine learning as their core technology to transform inputs (e.g. data) into outputs (e.g. matchmaking services), blockchain has emerged as an alternative technological blueprint. I argue that blockchain enables platforms that are both decentralized and distributed (e.g. Bitcoin), whereas machine learning fosters centralized communications and the concentration of decision-making (e.g. Facebook Inc.). This distinction has crucial implications for antitrust policy, which, I contend, should shift both its analysis and its target of action away from the corporate level and focus instead on the data level. Based on this essay’s framework, I make several predictions regarding the future of competition between centralized and decentralized platforms, the evolution of government regulation, and broader implications for managers in the digital economy and for the business schools charged with their education. I conclude with reflections on the opportunity to revive cybernetic thinking for preventing a dystopian future dominated by a handful of platform behemoths

Innovation and Equality: an Approach to Constructing a Community Governed Network Commons

Networked computing affords users distinct opportunities to communicate with each other, build relationships, transact business, and create. Yet, the digital divide perpetuates existing disparities between social groups. Interventions that rely on private ownership or philanthropy often fall short. Efforts to redress these disparities require collaboration across academic disciplines and with government and private sector organizations. This paper chronicles efforts in Harlem to address this through a collaborative approach to networked computing. We draw on two concepts--responsible innovation and co-governance--to sketch a community-based approach to networked computing. Second, the article identifies two potential systems, based in property law, through which a cross-section of community stakeholders could govern this networked computing infrastructure. In the end, this article seeks to integrate aspects of co-design and responsible innovation and reflects upon building bridges between researchers across academic disciplines, as well as the opportunities and difficulties of partnering with entrepreneurs and civic leaders

Future pHealth Ecosystem-Holistic View on Privacy and Trust

Modern pHealth is an emerging approach to collecting and using personal health information (PHI) for personalized healthcare and personalized health management. For its products and services, it deploys advanced technologies such as sensors, actuators, computers, mobile phones, etc. Researchers have shown that today’s networked information systems, such as pHealth ecosystems, miss appropriate privacy solutions, and trust is only an illusion. In the future, the situation will be even more challenging because pHealth ecosystems will be highly distributed, dynamic, increasingly autonomous, and multi-stakeholder, with the ability to monitor the person’s regular life, movements, emotions, and health-related behavior in real time. In this paper, the authors demonstrate that privacy and trust in ecosystems are system-level problems that need a holistic, system-focused solution. To make future pHealth ethically acceptable, privacy-enabled, and trustworthy, the authors have developed a conceptual five-level privacy and trust model as well as a formula that describes the impact of privacy and trust factors on the level of privacy and trust. Furthermore, the authors have analyzed privacy and trust challenges and possible solutions at each level of the model. Based on the analysis performed, a proposal for future ethically acceptable, trustworthy, and privacy-enabled pHealth is developed. The solution combines privacy as personal property and trust as legally binding fiducial duty approaches and uses a blockchain-based smart contract agreement to store people’s privacy and trust requirements and service providers’ promises.Peer reviewe

Engineering Trustworthiness in the Online Environment

Algorithm engineering is sometimes portrayed as a new 21st century return of manipulative social engineering. Yet algorithms are necessary tools for individuals to navigate online platforms. Algorithms are like a sensory apparatus through which we perceive online platforms: this is also why individuals can be subtly but pervasively manipulated by biased algorithms. How can we better understand the nature of algorithm engineering and its proper function? In this chapter I argue that algorithm engineering can be best conceptualized as a type of environmental engineering aimed at making the online environment more hospitable to human use, in particular by safeguarding the conditions that allow for trust