| 1. |
- Chochliouros, Joannis, et al.
(författare)
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Enabling crowd-sourcing-based privacy risk assessment in EU : the privacy flag project
- 2017
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Ingår i: PCI 2017. - New York : ACM Digital Library. - 9781450353557
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Konferensbidrag (refereegranskat)abstract
- Personal data have become merchandisable asset encouraging stakeholders to collect and trade them without end-user's awareness and acceptance. Although EU is adapting the legal framework, the extent of applications most of which are developed from outside the EU jurisdiction, strongly limit the possibility to effectively impose a privacy-protection framework globally. The Privacy Rag project researches and combines the potential of crowds ourcing, ICT technologies and legal expertise for enabling citizens monitoring and controlling their privacy1.
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| 2. |
- Guillén, Sergio, et al.
(författare)
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IoT European Large-Scale Pilots – Integration, Experimentation and Testing
- 2017
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Ingår i: Cognitive Hyperconnected Digital Transformation. - New York : Taylor & Francis. ; , s. 221-282
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Bokkapitel (refereegranskat)abstract
- The IoT European Large-Scale Pilots Programme includes the innovation consortia that are collaborating to foster the deployment of IoT solutions in Europe through the integration of advanced IoT technologies across the value chain, demonstration of multiple IoT applications at scale and in a usage context, and as close as possible to operational conditions.The programme projects are targeted, goal-driven initiatives that propose IoT approaches to specific real-life industrial/societal challenges. They are autonomous entities that involve stakeholders from the supply side to the demand side, and contain all the technological and innovation elements, the tasks related to the use, application and deployment as well as the development, testing and integration activities.This chapter describes the IoT Large Scale Pilot Programme initiative together with all involved actors. These actors include the coordination and support actions CREATE-IoT and U4IoT, being them drivers of the programme, and all five IoT Large-Scale Pilot projects, namely ACTIVAGE, IoF2020, MONICA, SynchroniCity and AUTOPILOT.ot projects, namely ACTIVAGE,IoF2020, MONICA, SynchroniCity and AUTOPILOT.
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| 3. |
- Ziouvelou, Xenia, et al.
(författare)
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Crowd-driven IoT/IoE ecosystems : a multidimensional approach
- 2017
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Ingår i: Beyond the Internet of Things. - Cham : Springer International Publishing. - 9783319507569 - 9783319507583 ; , s. 341-375
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Bokkapitel (refereegranskat)abstract
- During the past few years an astonishing paradigm shift has occurred; user-driven, open and collaborative innovation practices have emerged and an increasing number of users mutually collaborate by openly communicating their ideas, sharing best practices, and creating new knowledge across various sectors. These online, distributed crowd-driven networks leverage the network effects so as to harness the collective power and intelligence. Recently, there is an increasing interest in mobile crowd sensing (MCS) in the context of IoT/IoE which leverages both the power and the wisdom of the crowd in order to observe, measure and make sense of particular phenomena, such as environmental ones, using user-owned mobile and wearable devices. However, in order to ensure the success of such ecosystems, a number of diverse criteria need to be considered. As such this paper provides a framework, which supports the use of multiple perspectives (holistic approach) for the design of crowd-driven ecosystems. The proposed framework utilises three key perspectives: technical, business and end-user (people), in order to describe, analyse and finally design crowd-driven IoT/IoE ecosystems. In addition, this chapter examines the proposed model, in the context of IoT Lab, as a best practice crowd-driven IoT ecosystem, in order to explain how these perspectives can be used to promote ecosystem success.
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