Considering the fact that IoT testing takes place “live”, so you can’t talk about impeccable security and other privacy issues.
There are many risks that we will consider further:
This development opens many opportunities for society. Nevertheless, like all modern technologies that develop very quickly, there are certain risks of working with this system. If we want to manage them, we need to understand what they are. Thus, it will be possible to ensure the safety of the technology and use it to achieve positive technological progress. Among the most significant there are four risks, which should be addressed and implemented quality tools that can control cybersecurity.
The most obvious and common problem is the hacking of the network, which can lead to destructive, irreversible situations. Imagine how much damage humanity will bring that any hacker can take control of the whole system. That is why the fundamental factor should be security, the quality of which must be taken care of from the very beginning.
The second – a considerable risk for the Internet infrastructure of things is testing the network. At the present time, the introduction of this technology is being introduced gradually. All network devices are introduced one-time, and users test them as they move on the market. If we talk about past innovations, the introduction of new technologies occurred only after thorough testing.
But with this technology, the infrastructure is not tested at all. This can be called tuning and honing the system in a “live” mode, that is, in the process of operation and experiments. In addition, the accuracy of data sent by sensors to a number of devices is not necessarily checked. But users confidently believe that calibrated sensors can’t provide false information.
Accurate data is a decisive factor in the process of interaction of machines with each other, which exchange data and independently make a decision without human intervention. Thus, companies should use a number of additional tools, including artificial intelligence and statistical analysis. This is necessary to identify the sensors from which accurate data are obtained.
IoT also creates other data confidentiality problems that need to be addressed. It is necessary to inform the consumer about the data that is generated, how they are treated and used. It is very important that users do not have the ability to control the interaction of their own and other people’s devices, because they transmit information automatically.
The probability of anonymity of data is significantly lost, because the analysis of fragmented data comes from several endpoints. Customers who subscribe to the services and allow the use of the provided data may require transparency from the provider.
The fact that users are not sufficiently aware of the process of monitoring the confidentiality of data will lead to the identification of personal information that can later be used for illegal actions. In addition, this system produces a lot of unstructured data, so any analysis of them can reflect an incorrect behavioral model of the personality.
- Dependence of the machine
The main risk factors for the introduction of this technology are human behavior and social engineering. As an example, we can consider the traffic light. All of us from childhood know that when the red light comes on, the movement stops, yellow signals to wait when the green light comes on, so you can start moving. And what if, with the help of this technology, it will be possible to make of all traffic lights an intelligent system, green?
Will people be able to correctly analyze the data, think about the future, or will they continue to move? It is undeniable that to protect the infrastructure from cyber-attacks, people need to learn and be able to challenge the algorithms generated by machines.
Thus, the funds involved in monitoring the security of the network from cyber threats can be regarded as a kind of catalyst that can transform IOT into an ecosystem.
All the safety and regulation standards have developed into one, since the aviation industry has developed. To date, air travel is the safest. If we are talking about the introduction of the Internet of things with the same degree of security as in aviation, then we can confidently say that this technology will be in demand, it will be trusted, which will directly ensure the creation of innovative industries and companies.