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Are IoT devices an organizational security time bomb? What do home sensors reveal about your life? And how can IoT security problems be solved?

IoT, privacy, and commerce

Consumers need to know what the exchange is doing and whether they are satisfied. Some similar business issues apply: Would your executive team be happy to discuss mergers in a meeting room with speakers and smart cameras, for example? A recent survey found that four out of five companies cannot identify all IoT devices on their network.

Standards, and despite Security being a persistent issue. We will likely see some major IoT security disasters in the next few years.

Poorly installed IoT products can easily open corporate networks for hackers or leak data. It may seem like a trivial threat, but imagine if one morning your office’s smart locks refused to be unlocked. Or a smart weather station in the CEO’s office was used by hackers to create a backdoor on your network.

For example, think about:

• Spy on your desk corner: Why is smart office your next security nightmare?
• Forgotten Internet of Things gadgets will leave a catastrophic and toxic legacy.
• IoT in the office: What do you need to know about IoT in the workplace?

IoT and Cyber Security

The Internet of Things creates computing physical. So, if items go wrong with IoT devices, it could have far-reaching real-world consequences – something that countries planning their cyber warfare strategies are now considering.

US intelligence community briefings have warned that its enemies have already been able to threaten its vital infrastructure. As well as the “wider ecosystem of consumer and industrial equipment connected to the Internet called the Internet of Things. US intelligence has also cautioned that connected thermostats, cameras,, and stoves could all be used to spy on citizens of another country or to wreak havoc if hacked. Adding key elements of vital national infrastructure (such as dams, bridges, and grid elements) to the Internet of Things makes the issue of Security as critical as possible.

Internet of Things and Data

An IoT device will likely contain one or more sensors to collect data. What those sensors collect depends on each device and its function. Sensors inside industrial machinery may measure temperature or pressure. A security camera may have a proximity sensor with audio and video. At the same time, your home weather station may have packed a humidity sensor. All of this sensor data – and much, much more – has to be sent somewhere. This means that IoT (Internet of Things) devices need to transfer data, and they will do so via Wi-Fi, 4G, 5G, and more.

Having a huge amount of data generated by IoT applications means that many companies prefer to process their data in the cloud instead of creating a huge internal capacity.

Having a huge amount of data generated by IoT applications means that many companies prefer to process their data in the cloud instead of creating a huge internal capacity.

IDC says some of this IoT data will be “small and fragmented. Like a quick update like reading temperature from a sensor or reading from a smart meter. Other devices may generate large amounts of data traffic, such as computer vision video surveillance cameras.

IDC said the amount of data generated by IoT devices would grow rapidly in the next few years. Most data is generated by video surveillance, but other industrial and medical applications produce more data over time. It is also said that drones will be a great driver for creating data using the camera. Looking further, self-driving cars also generate large amounts of rich sensor data, including audio and video, as well as more specialized car sensor data.

IoT and big data analytics

The Internet of Things generates large amounts of data: from sensors attached to car parts or peripheral sensors or the words we shout over our smart speakers. This means that the Internet of Things is a significant driver for big data analytics projects. Because it permits organizations to develop and analyze large data sets, giving large volumes of data on how the company’s components behave in real life can help the company recover more quickly. While for example, data collected from sensors around the city can help planners streamline traffic flow.

This data will come in many forms – audio, video, temperature, or other sensor readings – all of which can be extracted for insight. As the IDC analyst points out, the IoT metadata category is a growing data source that must be managed and used. “Metadata is a key candidate for entry into NoSQL databases such as MongoDB to integrate the structure into unstructured content. Or cognitive systems to bring new levels of understanding, intelligence and order in random external environments,” the statement said.

Internet of Things and the Cloud

Having a huge amount of data generated by IoT applications means that many companies prefer to process their data in the cloud instead of creating a huge internal capacity. Cloud computing giants are now familiar with these companies: Microsoft has its own Azure IoT suite. At the same time, Amazon Web Services offers a wide range of IoT services, as does Google Cloud.

IoT and smart cities

By deploying a large number of sensors in a town or city. Planners can instantly get a better idea of what is going on. As a result, smart city projects are a key feature of the Internet of Things. Cities now generate large amounts of data (from security cameras and environmental sensors). And now have large infrastructure networks (such as those that control traffic lights). IoT projects aim to connect the two and then add more information to the system.

UAVs will be a great driver for creating data using the camera. Looking further, self-driving cars also generate large amounts of rich sensor data, including audio and video, as well as more specialized car sensor data.

How do IoT and 5G connect and share data?

What is 5G? It is a project to improve the size of the entire planet, replacing a wireless architecture created in this century with another architecture. That aims to reduce energy consumption and maintenance costs.

IoT devices use various methods to connect and share data, although most use some form of wireless connection: homes. And offices use standard Wi-Fi, low-power Zigbee, or Bluetooth (or even Ethernet if they are not particularly portable). Other devices use LTE (existing technologies include narrowband IoT and LTE-M., Which mainly target small devices that send limited amounts of data) or even use satellite connections to communicate. However, several options have already led some to argue that IoT communication standards should be as accepted and enforced as today’s Wi-Fi.

One area of ​​growth in the next few years will undoubtedly be using 5G networks to support IoT projects. 5G offers the ability to accommodate one million 5G devices per square kilometer. This means that it will be possible to use many sensors in a very small area and enable the deployment of large-scale IoT.

The UK has just begun testing 5G and IoT in two smart factories. However, it may take some time for 5G deployment to expand: Ericsson predicts that by 2025. About five billion IoT devices will be connected to cellular networks. But only about a quarter of them will be broadband, while 4G connects most devices.

According to Gartner, outdoor CCTV cameras will be the largest market for 5G IoT devices in the short term. They account for the majority (70%) of IoT 5G devices this year, before reaching 30 by the end of 2023. Reduce the percentage at which the connected vehicles overtake them.

The analyst firm predicts that 3.5 million 5G devices will be in use this year and nearly 50 million by 2023. This predicts that the automotive industry will be the largest segment for IoT applications in the long run.

IoT data and artificial intelligence

IoT devices generate large amounts of data. This may be information about engine temperature, whether the door is open or closed, or a smart meter reading. All of this IoT data must be collected, stored, and analyzed. Companies that make the most of this data bring it to artificial intelligence (AI) systems that capture IoT data and use it to predict.

For example, Google has put artificial intelligence in charge of its data center cooling system. Artificial intelligence uses data extracted from thousands of IoT sensors that penetrate deep neural networks and indicates how different options will influence future energy consumption. Google used machine learning and artificial intelligence to make its data centers more efficient. And said the same technology could be used in other industrial settings.

Evolution of the Internet of Things: Where will the next IoT go?

As the cost of sensors and communications continues to fall, it will become more cost-effective to add more devices to the Internet of Things – even if, in some cases, there is no obvious benefit to consumers. Deployment is in the early stages. Most IoT companies are currently testing because of of the necessary technology – sensor technology 5G technology. And machine learning-based analytics – is still in its infancy.

There are many competing platforms and standards, and different vendors, from device manufacturers to software companies to network operators, want a piece of the cake. It is unknown what he will do after leaving the post. But without standards, and despite Security as a persistent issue. We will likely see some major IoT security mishaps in the next few years.

Sensors inside industrial machinery may measure temperature or pressure. A security camera may have a proximity sensor with audio and video, while your home weather station may have packed a humidity sensor. All of this sensor data – and much, much more – has to be sent somewhere. This means that IoT devices need data transfer.

Conclusion

As the number of connected devices continues to grow, our living and working environments will be filled with smart products – assuming we are willing to trade security and privacy. Some will welcome a new era of smart things. Others will grieve for the days when a chair was just a chair.

Source:https://rasekhoon.net/article/show/1601012/%D8%A7%DB%8C%D9%86%D8%AA%D8%B1%D9%86%D8%AA-%D8%A7%D8%B4%DB%8C%D8%A7-%D8%AF%D8%A7%D8%AF%D9%87-%D8%AD%D8%B1%DB%8C%D9%85-%D8%AE%D8%B5%D9%88%D8%B5%DB%8C-%D9%88-%D8%AC%D9%86%DA%AF-%D8%B3%D8%A7%DB%8C%D8%A8%D8%B1%DB%8C