The Industrial Internet Consortium® (IIC) announces its first security assessment-focused testbed: the Security Claims Evaluation Testbed. IIC member organizations UL, Xilinx, Aicas and PrismTech are collaborating on the project to provide an open and easily configurable cybersecurity platform for evaluation of endpoint, gateway, and other networked components’ security capabilities. Data sources can include industrial, automotive, medical and other related endpoints requested for secure operation analysis.
“PrismTech develops secure, high performance, real-time end-to-end, data connectivity solutions for the Industrial IoT based on the OMG’s Data Distribution Service for Real-time Systems standard,” said Lawrence Ross, CEO, PrismTech. “Our technology will provide the Security Claims Evaluation Testbed with a flexible and secure Edge to Cloud data backbone that can support a broad range of participants’ security claims assessments.”
PrismTech features Vortex OpenSplice on its latest video highlighting its exceptional properties such as power, performance, scalability, efficiency, data centricity, security and quality-of-service.
From the original OpenSplice DDS product, Vortex OpenSplice is a combination of innovation, improved performance and the most comprehensive DDS implementation available in the market. Vortex OpenSplice enables data to be shared and integrated across a wide spectrum of operating systems and platforms; and has been successfully deployed in many missions and business-critical systems.
Applications running on edge-devices, gateways, enterprise servers, cloud services and mobiles are all valuable data sources and sinks in an IoT world. But new software platforms are needed to connect and leverage all these sub-systems to maximize the business value-add of Enterprise IoT.
For several years, M2M platforms have provided reasonable solutions for connecting machines to cloud services (actually it should be M2C, as M2M platforms generally do not support peer-to-peer device communications). But these platforms have struggled to create large markets or provide strategic enterprise-wide solutions. They have mostly been restricted to providing vertical/tactical applications — in effect self-contained ‘stovepipe’ systems.
But to fully exploit the potential of the IoT, data must be free to flow to wherever in the system it can add value, e.g. between ‘edge’ devices for control purposes, to gateways for data aggregation/ingestion and local analytics, to cloud-based applications for Big Data analytics, to enterprise systems for OT/IT alignment and supply-chain integration, to mobiles for on-demand data delivery to employees (see Figures 1 and 2). The promise of Enterprise IoT is the new value created through ubiquitous data availability (and its processing by applications into actionable insights), but this means a new generation of platforms is required to provide the data-connectivity to support a new generation of distributed IoT applications.
One of the biggest differences between traditional M2M and Enterprise IoT systems is that ‘horizontal’ as well as ‘vertical’ data-flow must be supported. Vertical silos of data do not provide the potential to add value beyond a specific sub-system, so a fundamental feature of next-generation IoT platforms will be a data-connectivity layer that supports system-wide data-delivery as required: the right data, in the right place, at the right time, system-wide.
There are many potential ways (control, analytics, dashboards, event processing, mobile apps, etc.) to exploit all this newly accessible IoT data, but it needs to be delivered to the appropriate application in a timely manner wherever in the system that application may reside (on an edge device, gateway, enterprise server, tablet, or in the cloud). Only then can the data be converted into new ‘actionable insights’ and thus new business value.
To provide this underlying capability, a data-connectivity layer needs to be deployed across all nodes the in the system — at least all the nodes that are required to share data (publish and/or subscribe). An enterprise version of Twitter for Things, in effect.
In simple terms, the diagrams in Figures 3 and 4 show, respectively, how this layer can be deployed both in the cloud (to support cloud services) and on devices (Things, servers, PCs, mobiles, etc.). They also show potential sources of the applications the platform connects (end-user developers, ISVs, SIs, OEMs).
[Note that the data-connectivity layer supports not only inter-node data-sharing, but also data-sharing between the application components of the IoT platform itself, i.e. inter-operability between platform services (such as IDEs, edge-device management, API management, analytics engines, etc.) as well as between Things].
Much is being written that the biggest concerns related to enterprise and industry adoption of the IoT are data security and privacy. This eCast will directly address those concerns and explain and demonstrate potential solutions. The Triple-A of security (Authentication, Authorization and Accounting) will be discussed as well as concepts like domain-boundary security and support for data encryption. PrismTech is a recognized leader in IoT platform technologies (e.g. Gartner ‘Cool Vendor’, sandhill.com ‘Needle Mover’, IoT Nexus ‘Power Player’) and has well over a decade of experience in providing products for security-sensitive markets such as mil/aero, transportation and critical infrastructure. The eCast will be presented by PrismTech’s CTO, Angelo Corsaro.
Although Industrial and Consumer IoT applications typically require different levels of performance, security, fault tolerance, and safety, they are both data-centric and share the same underlying architectural pattern — the Collect | Store | Analyze | Share pipeline. As a result, data sharing is a crucial architectural element that can make the difference between the success and failure of an IoT application. The challenge for industry is that there is currently a proliferation of data-sharing and messaging protocols, no set standard, and – until now – no qualitative and quantitative analysis to provide insight and direction.
Read PrismTech CTO Angelo Corsaro’s latest article in the Cutter IT Journal which aims to help IoT practitioners understand the set of data-sharing requirements they must consider and guide them in the selection of viable technologies to satisfy those requirements by registering for FREE at Cutter Consortium