2,700 research outputs found
IDMoB: IoT Data Marketplace on Blockchain
Today, Internet of Things (IoT) devices are the powerhouse of data generation
with their ever-increasing numbers and widespread penetration. Similarly,
artificial intelligence (AI) and machine learning (ML) solutions are getting
integrated to all kinds of services, making products significantly more
"smarter". The centerpiece of these technologies is "data". IoT device vendors
should be able keep up with the increased throughput and come up with new
business models. On the other hand, AI/ML solutions will produce better results
if training data is diverse and plentiful.
In this paper, we propose a blockchain-based, decentralized and trustless
data marketplace where IoT device vendors and AI/ML solution providers may
interact and collaborate. By facilitating a transparent data exchange platform,
access to consented data will be democratized and the variety of services
targeting end-users will increase. Proposed data marketplace is implemented as
a smart contract on Ethereum blockchain and Swarm is used as the distributed
storage platform.Comment: Presented at Crypto Valley Conference on Blockchain Technology (CVCBT
2018), 20-22 June 2018 - published version may diffe
BlendSM-DDM: BLockchain-ENabled Secure Microservices for Decentralized Data Marketplaces
To promote the benefits of the Internet of Things (IoT) in smart communities
and smart cities, a real-time data marketplace middleware platform, called the
Intelligent IoT Integrator (I3), has been recently proposed. While facilitating
the easy exchanges of real-time IoT data streams between device owners and
third-party applications through the marketplace, I3 is presently a monolithic,
centralized platform for a single community. Although the service oriented
architecture (SOA) has been widely adopted in the IoT and cyber-physical
systems (CPS), it is difficult for a monolithic architecture to provide
scalable, inter-operable and extensible services for large numbers of
distributed IoT devices and different application vendors. Traditional security
solutions rely on a centralized authority, which can be a performance
bottleneck or susceptible to a single point of failure. Inspired by
containerized microservices and blockchain technology, this paper proposed a
BLockchain-ENabled Secure Microservices for Decentralized Data Marketplaces
(BlendSM-DDM). Within a permissioned blockchain network, a microservices based
security mechanism is introduced to secure data exchange and payment among
participants in the marketplace. BlendSM-DDM is able to offer a decentralized,
scalable and auditable data exchanges for the data marketplace.Comment: Accepted and to be presented at the 2nd International Workshop on
CLockchain Enabled Sustainable Smart Cities (BLESS 2019), held in conjunction
with the 5th IEEE International Smart Cities Conference (ISC2 2019),
Casablanca, Morocco, October 14 - 17, 2019. arXiv admin note: text overlap
with arXiv:1902.1056
Energy-aware Demand Selection and Allocation for Real-time IoT Data Trading
Personal IoT data is a new economic asset that individuals can trade to
generate revenue on the emerging data marketplaces. Typically, marketplaces are
centralized systems that raise concerns of privacy, single point of failure,
little transparency and involve trusted intermediaries to be fair. Furthermore,
the battery-operated IoT devices limit the amount of IoT data to be traded in
real-time that affects buyer/seller satisfaction and hence, impacting the
sustainability and usability of such a marketplace. This work proposes to
utilize blockchain technology to realize a trusted and transparent
decentralized marketplace for contract compliance for trading IoT data streams
generated by battery-operated IoT devices in real-time. The contribution of
this paper is two-fold: (1) we propose an autonomous blockchain-based
marketplace equipped with essential functionalities such as agreement
framework, pricing model and rating mechanism to create an effective
marketplace framework without involving a mediator, (2) we propose a mechanism
for selection and allocation of buyers' demands on seller's devices under
quality and battery constraints. We present a proof-of-concept implementation
in Ethereum to demonstrate the feasibility of the framework. We investigated
the impact of buyer's demand on the battery drainage of the IoT devices under
different scenarios through extensive simulations. Our results show that this
approach is viable and benefits the seller and buyer for creating a sustainable
marketplace model for trading IoT data in real-time from battery-powered IoT
devices.Comment: Accepted in SmartComp 202
Mind My Value: a decentralized infrastructure for fair and trusted IoT data trading
Internet of Things (IoT) data are increasingly viewed as a new form of
massively distributed and large scale digital assets, which are continuously
generated by millions of connected devices. The real value of such assets can
only be realized by allowing IoT data trading to occur on a marketplace that
rewards every single producer and consumer, at a very granular level.
Crucially, we believe that such a marketplace should not be owned by anybody,
and should instead fairly and transparently self-enforce a well defined set of
governance rules. In this paper we address some of the technical challenges
involved in realizing such a marketplace. We leverage emerging blockchain
technologies to build a decentralized, trusted, transparent and open
architecture for IoT traffic metering and contract compliance, on top of the
largely adopted IoT brokered data infrastructure. We discuss an Ethereum-based
prototype implementation and experimentally evaluate the overhead cost
associated with Smart Contract transactions, concluding that a viable business
model can indeed be associated with our technical approach
A gap analysis of Internet-of-Things platforms
We are experiencing an abundance of Internet-of-Things (IoT) middleware
solutions that provide connectivity for sensors and actuators to the Internet.
To gain a widespread adoption, these middleware solutions, referred to as
platforms, have to meet the expectations of different players in the IoT
ecosystem, including device providers, application developers, and end-users,
among others. In this article, we evaluate a representative sample of these
platforms, both proprietary and open-source, on the basis of their ability to
meet the expectations of different IoT users. The evaluation is thus more
focused on how ready and usable these platforms are for IoT ecosystem players,
rather than on the peculiarities of the underlying technological layers. The
evaluation is carried out as a gap analysis of the current IoT landscape with
respect to (i) the support for heterogeneous sensing and actuating
technologies, (ii) the data ownership and its implications for security and
privacy, (iii) data processing and data sharing capabilities, (iv) the support
offered to application developers, (v) the completeness of an IoT ecosystem,
and (vi) the availability of dedicated IoT marketplaces. The gap analysis aims
to highlight the deficiencies of today's solutions to improve their integration
to tomorrow's ecosystems. In order to strengthen the finding of our analysis,
we conducted a survey among the partners of the Finnish IoT program, counting
over 350 experts, to evaluate the most critical issues for the development of
future IoT platforms. Based on the results of our analysis and our survey, we
conclude this article with a list of recommendations for extending these IoT
platforms in order to fill in the gaps.Comment: 15 pages, 4 figures, 3 tables, Accepted for publication in Computer
Communications, special issue on the Internet of Things: Research challenges
and solution
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