On Monday, Cisco's Talos security research division revealed that hackers sabotaged the ultra-popular, free computer-cleanup tool CCleaner for at least the last month, inserting a backdoor into updates to the application that landed in millions of personal computers. Three times in the last three months, hackers have exploited the digital supply chain to plant tainted code that hides in software companies' own systems of installation and updates, hijacking those trusted channels to stealthily spread their malicious code. Even Artificial Neural Networks Can Have Exploitable'Backdoors' According to Avast, the tainted version of the CCleaner app had been installed 2.27 million times from when the software was first sabotaged in August until last week, when a beta version of a Cisco network monitoring tool discovered the rogue app acting suspiciously on a customer's network. One month later, researchers at Russian security firm Kaspersky discovered another supply chain attack they called "Shadowpad:" Hackers had smuggled a backdoor capable of downloading malware into hundreds of banks, energy, and drug companies via corrupted software distributed by the South Korea-based firm Netsarang, which sells enterprise and network management tools.
This digital computer, adapted for the control of manufacturing processes for General Motors, provided a means to generate and transmit digital information, so that hardware devices could digitally communicate with other interfaces and no longer had to work in isolation. Traditionally this had always required some kind of central computer to hold a rule set and act as a command and control server. In the oil and gas industry IoT sensors have transformed efficiencies around the complex process of natural resource extraction by monitoring the health and efficiency of hard to access equipment installations in remote areas with limited connectivity. By embracing near edge processing technology instead of the cloud, the resource industry can now process a significant amount of the data that is generated from the sensors they use in low power, small computers close to the physical location of the sensors themselves.
Meanwhile, the narrow-band networks, data collection gateway appliances and analytics to make intelligent use of the data produced are all well understood. "Pulse IoT also provides a platform for vendors to talk to the devices and sensors on the network, for instance to push firmware upgrades out to them, or to manage them in other ways. The key to enabling this is NSX, which provides security across the whole network, from edge to cloud, Baguley adds. It will probably be a combination of traditional partners, IoT solution vendors and new partners, he says.
Consumers are open to smart home tech and companies are working to provide it. Arkenberg's vision of an intelligent home uses sensing, data, connectivity, and modeling to manage resource efficiency, security, productivity, and wellness. He sees the homes of the future being equipped with digital ears (in the form of home assistants, sensors, and monitoring devices) and digital eyes (in the form of facial recognition technology and machine vision to recognize who's in the home). Ultimately, Arkenberg sees homes being able to learn about us, manage our scheduling and transit, watch our moods and our preferences, and optimize our resource footprint while predicting and anticipating change.
One Cincinnati-based startup recently launched a DIY kit of smart-home connected products – which includes voice-controlled Amazon Echo Dot technology -- that it says can help senior citizens live independently for longer. When a pattern shifts, TruSense notices, and updates the user and the circle of people who they've chosen via custom notifications--it can even notify the 24/7 emergency monitoring center through a voice integration with the Amazon Echo Dot. TruSense: We have gone to great lengths to ensure that TruSense delivers multiple layers of protection, providing a fail-safe system that provides a safety net. TruSense has personalized alerts and notifications when something goes wrong based on customized user thresholds that can trigger a text or voice commands can be used to notify our 24/7 emergency response team via integration with digital assistants such as Amazon Echo.
While it's probably best known for its Hive Active Heating smart thermostat, the company also offers a range of smart home devices, including sensors, plugs and most recently a camera. Testing the thermostat in the middle of the British'summer' wouldn't make much sense, so we chose to evaluate the Hive Window/Door Sensor, the Hive Active Plug, Hive Motion Sensor and the Hive Active Light. While it's entirely possible to connect the smart plug to your coffee machine and make a brew by using the smartphone app, that's nowhere near as satisfying as asking Alexa to do it and then wandering downstairs to find a pot of coffee freshly brewed (Hive also works with Google Assistant, and the company says that Apple Homekit is "definitely on our radar".) Oddly, the recently launched camera requires a separate app and does not integrate with the rest of the Hive products.
Consumers also have the option of managing devices through smart home hubs such as those offered by Samsung SmartThings, Amazon Echo, and Google Home, which allow owners to monitor any type of connected device through a single interface. However, ReportLinker found that few respondents – just 9% – say they use such hubs. This could change, however, if it becomes more convenient to control home devices from your smartphone. Both Google and Apple have developed all-in-one apps that enable consumers to operate multiple smart devices right from a single app on a smartphone or tablet.
The combination of data from this array of sensors that refer to the same physical object creates a virtual representation of the object: its Digital Twin. Although there are no sensors in landing pages, there is an array of data associated with them, such as items it contains and user interaction related data -- clickstreams. ScaleOut features an object-oriented API that enables modeling multiple data streams associated with the same entity and encapsulating properties and behavior related to that entity in a way that mirrors it. But does that make ScaleOut a Spark / Flink / Storm killer?
For example, we might discuss how Tesla's connected network of cars (which send each other information in real time) can prevent accidents, but we don't look at the bigger picture and consider the impact this data could have on other, seemingly unrelated industries. Many large scale corporations are already prepping for this inevitable future - particularly those that wouldn't survive in a connected world - by implementing existing Internet of Things frameworks. If, however, Amazon had their own network they will essentially have their own in-house Internet of Things, along with the ability to seamlessly integrate all Amazon products with each other, and perhaps even lease to other companies. Many futurists predict that independent Internet networks could eventually become the norm for large scale companies.
LG Electronics is planning to go all-out in acquiring AI technologies in an attempt to boost its smart home business. LG's products that come equipped with DeepThinQ include a language-learning AI air conditioner, which the company launched in July; the Airport Guide Robot that's currently operating at Incheon International Airport and an AI speaker called SmartThinQ Hub. The news about LG's plan of acquiring AI technologies comes just days after the company took the wraps off of its V30 handset. LG is planning to expand its smart home business by acquiring more AI technologies.