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Overcoming the Challenges of OPC for Industrial IoT Applications
N/A | October 12, 2018
Greenbox brings the Internet of Things to the yard, with a simple and fun-to-use watering solution. It replaces the cumbersome irrigation controllers that do not to take full advantage of today's technology.
Article | March 16, 2020
We live in an era of digital transformation where more and more devices are connecting to bring new and innovative levels of service and efficiency. This transformation spans across all markets and the rate of progress is breath-taking, says David Maidment, director, secure device ecosystem at Arm.This change brings huge benefits, but it also brings threats in the shape of an expanding cybercrime footprint. Every connected device is a hack potential. Rather than attacking traditional IT equipment, the cybercrime threats start to move to all aspects of our lives. It is predicted that by 2021 there will already be US$6 trillion (€5.37 trillion) of cybercrime damage (Source: Cybersecurity Ventures Official Annual Cybercrime Report), which is a staggering number pinned against financial loss for businesses, without considering the damage to reputation and other harder-to-measure statistics.
The book Design, Launch, and Scale IoT Services classifies the components of IoT services into technical modules. One of the most important of these is Artificial Intelligence (AI). This article is intended to supplement the book by providing insight into AI and its applications for IoT. After many years in the wilderness, AI is back on the hype curve and will change the world again. Or, will it? AI has always been interesting, but what has changed to justify the current hype? There are several contributing factors. The volumes of data that will be produced by many IoT services suggest that this data cannot be managed by humans with traditional analytics tools. Therefore, AI can offer opportunities for IoT services to extract maximum value from the data. IoT cloud platforms are now offering AI services via APIs and application development tools, making AI more accessible for many IoT services. Now, AI can be incorporated without requiring extensive development or excessive costs.
Low-power wide-area networks (LPWANs) are helping drive the Internet of things (IoT) explosion. They connect millions of low-power IoT and Industrial IoT (IIoT) devices into wireless networks over a range of distances, from short to really, really long, from indoor applications to those covering large fields or even cities. But device designers using the LoRaWAN standard may be lulled into thinking that just configuring its security keys is enough to prevent their devices from being hacked. A new report says it isn’t. Four protocols give enterprises a choice in LPWAN connectivity: cellular NB-IoT, LTE-M, and Sigfox, and the non-cellular LoRaWAN standard. Among these, the open LoRaWAN overwhelmingly dominates. Omdia (formerly IHS Markit – Technology) projects a “quite high forecast” for LoRa, said Lee Ratliff, senior principal analyst, connectivity and IoT.
WISeKey International Holding Ltd., cybersecurity delivering Integrated Security Platforms, announced that it has registered a total of 23 new strategic patents in US which are essential to the digital transformation applications that are fueling the growth in the IoT market.With a rich portfolio of more than 46 patent families, covering over 100 fundamental individual patents, and another 22 patents under review, WISeKey continues to expand its technology footprint in various domains including the design of secure chips, near field communication (NFC), the development of security firmware and backend software, the secure management of data, the improvement of security protocols between connected objects and advanced cryptography.
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