Valorising the IoT <i>Databox</i>: creating value for everyone

Perera, Charith; Wakenshaw, Susan Y. L.; Baarslag, Tim; Haddadi, Hamed; Bandara, Arosha K.; Mortier, Richard; Crabtree, Andy; Ng, Irene C. L.; McAuley, Derek; Crowcroft, Jon

doi:10.1002/ett.3125

Cited by 31 publications

(31 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, the sharing of such data with other firms, even for innovative new offerings, is often constrained by privacy laws. In response to this firm-centric structure, computing and human-computer interaction or HCI research have called for the need for a personal data repository (Mortier, Haddadi, Henderson, McAuley & Crowcroft, 2014, Perera, Wakenshaw, Baarslag, Haddadi, Bandara, Mortier, Crabtree, Ng, McAuley, & Crowcroft, 2016, as it is becoming evident that it could be beneficial for us, as consumers, to have access to our own personal data. However, this has had limited success for three reasons.…”

Section: Personalizationmentioning

confidence: 99%

The Internet-of-Things: Review and research directions

Wakenshaw

2017

International Journal of Research in Marketing

504

263

View full text Add to dashboard Cite

This paper presents a review of the Internet-of-Things (IoT) through four conceptualizations: IoT as liquification and density of information of resources; IoT as digital materiality; IoT as assemblage or service system; and IoT as modules, transactions, and service. From the conceptualizations, we provide a definition of IoT and present its implications and impact on future research in Marketing that interfaces with information systems, design and innovation, data science and cybersecurity, as well as organizational studies and economics. By integrating the implications of IoT with extant literature, we then propose a set of priorities for future research in this area. Highlights• Consumer experiences with physical products will be highly visible in an era of IoT • Physical products are evolving into connected and dynamically reconfigurable service platforms that are socio-cyber-physical • Information is leaking out and liquifying everywhere and data is ubiquitous • Consumers personal data allow for personalization of the offering but could result in consumer vulnerabilities • Shifting boundaries due to information flows in an era of IoT will transform markets and exchanges

show abstract

Section: Personalizationmentioning

confidence: 99%

The Internet-of-Things: Review and research directions

Wakenshaw

2017

International Journal of Research in Marketing

504

263

View full text Add to dashboard Cite

show abstract

“…This approach to the access control management in IoT networks is certainly a step forward from existing IoT architectures, where devices are identified, authenticated, and connected through centralized servers. Another option, of course, is an implementation of a local access-control server physically controlled and managed by the user as suggested in Perera et al (2017). Such localized solutions, however, cannot compete with a cloud-based access-control management which has significant advantages from an end user's perspective: usability, affordability, interoperability, and scalability.…”

Section: Key Technical Componentsmentioning

confidence: 99%

“…In these models, smart devices with autonomous or semi-autonomous capacity would be able to make their own decisions, participate in markets, buy and sell services, creating new class of market actors (Höller 2014). SenaaS is another closely related vision of a business model where IoT services and products are offered on-demand, mostly focusing on sensing data in smart cities (Perera et al 2014;Perera et al 2017). It is also possible to say that the idea of technologically enabled ownership in IoT data, found in blockchain solutions, is conceptually (if not technologically) similar to those presented in SenaaS.…”

Section: Data Marketplacesmentioning

confidence: 99%

The Ethical Limits of Blockchain-Enabled Markets for Private IoT Data

Ishmaev

2019

Philos. Technol.

View full text Add to dashboard Cite

This paper looks at the development of blockchain technologies that promise to bring new tools for the management of private data, providing enhanced security and privacy to individuals. Particular interest presents solutions aimed at reorganizing data flows in the Internet of Things (IoT) architectures, enabling the secure and decentralized exchange of data between network participants. However, as this paper argues, the promised benefits are counterbalanced by a significant shift towards the propertization of private data, underlying these proposals. Considering the unique capacity of blockchain technology applications to imitate and even replace traditional institutions, this aspect may present certain challenges, both of technical and ethical character. In order to highlight these challenges and associated concerns, this paper identifies the underlying techno-economic factors and normative assumptions defining the development of these solutions amounting to technologically enabled propertization. It is argued that without careful consideration of a wider impact, such blockchain applications could have effects opposite to the intended ones, thus contributing to the erosion of privacy for IoT users.

show abstract

“…There is also a commercial centralized cloudbased marketplace call Terbine (http://www.terbine.com/) offering high control on how IoT data can be used. The paper [18] gives one step towards the decentralization by empowering data providers with the ability to define sharing preferences and data privacy and deliver the data to consumers in a peer-to-peer fashion, whereas the data marketplace where their offers are published is centralized.…”

Section: Related Workmentioning

confidence: 99%

A Peer‐to‐Peer Architecture for Distributed Data Monetization in Fog Computing Scenarios

Vega

Soriano

Jiménez

et al. 2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Modern IoT deployments do require considerable investments that might only be justified if the data being gathered could be monetized, which leads to the need for a digital data marketplace. In many cases, the provider of the IoT data needs to process it locally for data curation, aggregation, stream processing, etc. At the same time, the consumer could be interested in nearby data. This scenario resembles a fog computing architecture where companies require being able, keeping data under their control, to securely make it available to other companies in a peer-to-peer fashion, without needing a cloud intermediary (like traditional marketplaces do), thus maximizing the locality of the processing and avoiding the existence of a bottleneck when the intermediary makes the data delivery for accounting purposes. Nevertheless, this imposes a hard requirement: by not having a central marketplace, the peers (seller and customer) need to trust each other, which, in turn, requires enforcing a nonrepudiation schema. In this paper, the authors propose a distributed peer-to-peer architecture for such a data marketplace that takes advantage of the architectural fundamentals of fog computing, in which data processing, filtering, and stream based event generation is done in a fog node along with the data, and where relationships, both commercial agreements and data delivery, are performed directly between producers and consumers without the need of mutual trust thanks to the usage of blockchain principles (e.g., distributed ledger, consensus mechanism). The proposed architecture is validated through a case study involving a set of key issues regarding nonrepudiation commonly identified when moving from a centralized marketplace to a distributed one. Moreover, it is shown that the proposed solution does not bring in any limitation with regard to a centralized marketplace solution, in terms of pricing models (subscriptions, pay-per-use, etc.) or usage conditions (contract duration, updates rate, etc.).

show abstract

Valorising the IoT Databox: creating value for everyone

Abstract: The Internet of Things is expected to generate large amounts of heterogeneous data from diverse sources including physical sensors, user devices and social media platforms. Over the last few years, significant attention has been focused on personal

Cited by 31 publications

References 29 publications

The Internet-of-Things: Review and research directions

The Internet-of-Things: Review and research directions

The Ethical Limits of Blockchain-Enabled Markets for Private IoT Data

A Peer‐to‐Peer Architecture for Distributed Data Monetization in Fog Computing Scenarios

Contact Info

Product

Resources

About