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IOT Threats and countermeasures
| December 8, 2019
iSteer is a engineer value based technology solutions provider to help businesses flourish.
Article | March 23, 2020
AHR Expo used to be mostly a “mechanical engineering” event, and even in 2017, when I first got there, there were just a few companies who mentioned IoT or connectivity at their stands. Only the most prominent players in the HVACR industry presented their IoT solutions. In my conversations with companies at that time, no one was taking IoT very seriously. And it’s understandable, there already were Modbus, BacNet – well-defined protocols to connect machines to a PC or PLCs to make them work in unison without any Clouds and external access.
Much of the attention on 5G technology centers on a future of smarter phones, drones and self-driving cars. But 5G’s role in next-generation industrial IoT applications bears watching as well. While 5G may be one among many evolutionary steps, it is important in the development of new industrial IoT use cases. 5G connectivity, is the fifth generation of cellular technology. It is designed to increase network speed, reduce latency, and improve flexibility of wireless services. 5G technology has a theoretical peak speed of 20 Gbps, while the peak speed of 4G is only 1 Gbps. 5G improve the performance of business applications in various context, such as factories, self-driving cars and in handheld devices for field technicians.
The Internet of Things has been a breakthrough, and adoption rates keep exploding. There are possibly over 20 billion IoT devices in the world, and by 2025, there may have been 75 billion. Even though there has been a rise in smart home devices, most IoT devices are found in businesses, industries, and healthcare. The benefits are overwhelming: from enabling automation of repetitive tasks (both simple and complex), to real-time data insights and analytics, IoT devices make workers more productive, improve customer experience, and reduce operating costs. However, with the many benefits of IoT devices come serious disadvantages, chief of which is security. Here are some reasons why IoT devices have such serious security risks:
Arm wants to help IoT and other embedded devices to think for themselves. Today the company unveiled two chips designed to eliminate the reliance on cloud-based artificial intelligence (AI) by delivering machine learning (ML) capabilities right on the device.“Enabling AI everywhere requires device makers and developers to deliver machine learning locally on billions and ultimately trillions of devices,” said Dipti Vachani, SVP and general manager of Arm’s automotive and IoT line of business, in a statement. The Cortex-M55 processor is the company’s first to leverage the Armv8.1-M architecture and features Arm’s Helium vector processing technology, which is designed with ML and digital signal processing in mind.
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