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How to meet the IoT security requirements of today and tomorrow
July 4, 2023
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TESLA Semiconductor (P) Ltd is set up in Bangalore, India by Auxineon Pte, Ltd, Singapore in collaboration with Toppan Technical Design Centre...
whitePaper | May 23, 2021
The vast amounts of data constantly collected by the billions of sensors and devices that make up the Internet of Things (IoT) can pose a serious processing challenge for businesses that rely on traditional intelligence and analytics tools. An emerging solution is to use Artificial Intelligence (AI) and machine learning to build intelligent systems that automatically gather, process, and extract actionable insights from IoT data - in real time without the need for human intervention. How are AI-enabled systems transforming IoT devices and applications at the edge, and what are some of the emerging use cases we can expect to see in the near future?
whitePaper | November 1, 2019
The Internet of Things (IoT) is transforming businesses and peoples’ lives, and will continue to ignite innovations in the future. It is expected that we will progress to tens of billions of connected devices globally over the next decade1 that will generate multi-trillion dollars of economic value2 across many markets forming the foundation of a totally interconnected world—or the Internet of Everything.
whitePaper | June 20, 2022
The industrial Internet of Things (IIoT) refers to the use of internet-connected sensors and devices in the industrial sectors, such as manufacturing, energy, automotive, healthcare, life sciences, and agriculture. IIoT allows telemetry data collection from equipment, machines, and field devices in an operational environment. These environments are commonly subject to industrial regulations; compute, networking, and power constraints; and inclement conditions, and all of these challenges contribute to the complexity of designing an IIoT solution.
whitePaper | August 16, 2022
During routine analysis of detection performance, we noticed a batch of processes that respected the same pattern in the process names. These names begin with sys, win or lib followed by a word that describes the functionality, such as bus, crt, temp, cache, init, and end in 32.exe. We later noticed that the .bat files and the downloaded payloads respect the same naming convention. Further investigation revealed the components are part of a monitoring application called SecondEye, developed in Iran and distributed legitimately via the developer’s website. We also found that some spyware components were already described in an article published by Blackpoint . In the article, researchers drew attention to the dangers of legally distributed monitoring software with malicious behavior
whitePaper | January 22, 2022
This white paper has been prepared for distribution for informational purposes only. No regulatory authority has examined or approved any of the information set out in this white paper. The white paper may not be exhaustive and does not imply any elements of a contractual relationship or obligations.
whitePaper | January 26, 2022
What’s the largest roadblock to realizing the promise of the Internet of Things? For many organizations, the obstacle delaying widespread deployments is the strategy for onboarding the necessary edge resources for a lifetime of secure operation. Proof-of-concept and pilot systems comprised of dozens and even hundreds of nodes in a controlled setting are simply different than a full-scale rollout.
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