Understanding the IoT Security Ecosystem

whitePaper | July 19, 2022

By now, everyone has heard the terms desktop virtualization and VDI It seems like we’ve been pounded with marketing propaganda about these technologies from companies like VMware, Citrix® and Microsoft® since 2006. But if desktop virtualization is so good, why are most of the world’s desktops still “old-style” physical desktops and laptops?

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 [1]. In the article, researchers drew attention to the dangers of legally distributed monitoring software with malicious behavior

whitePaper | December 6, 2019

This white paper demonstrates how two leading organizations in the Internet of Things (IoT) can work together towards a common purpose of a robust, interoperable, flexible and efficient Industrial Internet of Things (IIoT). We first introduce the two organizations, the Industrial Internet Consortium (IIC) and oneM2MTM, then illustrate their technical approach to IoT solutions, demonstrating how both organizations’ thought leaders envision the growth of IoT through collaboration.

whitePaper | July 11, 2023

Never before has the launch of a new technology so rapidly fired the imagination of enterprises and consumers alike. The arrival of ChatGPT in November 2022 showcased the potential of Generative AI powered by Large Language Models (LLMs) in addressing a vast array of new use cases. These use cases were previously unimaginable with conventional computing and analytical AI (now sometimes described as “traditional” or “classic” AI).

whitePaper | May 24, 2022

Despite the best efforts of developers, embedded and IoT systems are usually deployed with bugs remaining in their code. A development team introduces an average of 120 bugs per 1,000 lines of code during development. Approximately 5 percent, or 6 bugs per 1,000 lines of code, typically remain in the shipped software.

whitePaper | January 8, 2020

Smart grid managers and Head End System (HES) vendors depend on data to drive their business. Receiving and analyzing accurate data from grid endpoints - the smart meters - is the main element that determines business success. Their customers, Distribution System Operators (DSOs) and Advanced Metering Infrastructures (AMI) managers, then use this data for crucial processes: monitoring energy demand and production, load shifting to maintain a persistent grid balance at all times and billing customers. Each tiny bit of data is the starting point for monetization and asset management and it must be accurate and trusted in order to keep power flowing.