6,270 research outputs found
Analytics-as-a-Service in a Multi-Cloud Environment through Semantically-enabled Hierarchical Data Processing
yesA large number of cloud middleware platforms and tools are deployed to support a variety of Internet
of Things (IoT) data analytics tasks. It is a common practice that such cloud platforms are only used
by its owners to achieve their primary and predefined objectives, where raw and processed data are only
consumed by them. However, allowing third parties to access processed data to achieve their own objectives
significantly increases intergation, cooperation, and can also lead to innovative use of the data. Multicloud,
privacy-aware environments facilitate such data access, allowing different parties to share processed
data to reduce computation resource consumption collectively. However, there are interoperability issues in
such environments that involve heterogeneous data and analytics-as-a-service providers. There is a lack of
both - architectural blueprints that can support such diverse, multi-cloud environments, and corresponding
empirical studies that show feasibility of such architectures. In this paper, we have outlined an innovative
hierarchical data processing architecture that utilises semantics at all the levels of IoT stack in multicloud
environments. We demonstrate the feasibility of such architecture by building a system based on this
architecture using OpenIoT as a middleware, and Google Cloud and Microsoft Azure as cloud environments.
The evaluation shows that the system is scalable and has no significant limitations or overheads
Securing the Participation of Safety-Critical SCADA Systems in the Industrial Internet of Things
In the past, industrial control systems were ‘air gapped’ and
isolated from more conventional networks. They used
specialist protocols, such as Modbus, that are very different
from TCP/IP. Individual devices used proprietary operating
systems rather than the more familiar Linux or Windows.
However, things are changing. There is a move for greater
connectivity – for instance so that higher-level enterprise
management systems can exchange information that helps
optimise production processes. At the same time, industrial
systems have been influenced by concepts from the Internet
of Things; where the information derived from sensors and
actuators in domestic and industrial components can be
addressed through network interfaces. This paper identifies a
range of cyber security and safety concerns that arise from
these developments. The closing sections introduce potential
solutions and identify areas for future research
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