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The Internet of Things (IoT) is playing a vital role in the smart infrastructure environment. The IoT vendors are delivering their products in the market without any concern about the security of the devices, so it is an open number of security issues on the IoT devices and data. Security threats are growing high because existing techniques and measures are inadequate; two of the most significant concerns in IoT are security and privacy. Due to the IoT devices limited CPU, storage, and energy resources, existing security architectures are unable to provide the key safety requirements, so deep learning and blockchain algorithms are used. These IoT devices give accurate results from heavy complex datasets. Furthermore, Ikarus Infrastructure Network with its blockchain and deep learning model are very familiar to give secured devices to IoT and the management of infrastructure.
With Ikarus, it is not only possible to manage any type of smart infrastructure but above all, we can provide a new communication standard and great reliability even in the absence of the internet and encrypted data certified by blockchain with the certification of the origin of detection so as to reduce the possible ones to 0 cyberattacks or attempts to damage the entire network.
IoT is especially relevant to the Smart Grid since it provides systems to gather and act on energy and power-related information in an automated fashion with the goal to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity. Using advanced metering infrastructure (AMI)devices connected to the Internet backbone, electric utilities can not only collect data from end-user connections but also manage other distribution automation devices like transformers and reclosers.
For this reason, Ikarus Energy with its exclusive standard radio and encrypted communication by its blockchain provide security and privacy of all communication with an infrastructure completely distributed and without using any kind of web connection.
Managing Traffic Lights
With Ikarus Infrastructure is possible to control remotely with the protection of blockchain and in absence of the internet all infrastructure of traffic lights and is possible to collect any kind of data and by special APIs is possible to send in any software for managing traffic, all data collected by IoT permits to predicts the traffic and managing my client’s software.
IoT systems, as we all know, are made up of a slew of sensors and other data-gathering devices. The traffic signals are equipped with heat and moisture-sensitive sensors for monitoring weather-related data for better traffic light control.
These sensors will then send data to traffic lights, which will adjust the brightness and intensity of the lights dependent on the weather and road visibility for vehicles.
To reduce traffic congestion, real-time data feeds are employed in traffic signals. Sensors installed in key locations may collect data on high-traffic crossings and areas where cars are diverted using IoT technology.
Smart roads include the actual roads themselves, smart streetlights, smart traffic signs, and smart or autonomous cars driving on these roads. The architectures, systems and applications that make smart roads possible include communications networks, IoT sensor networks, as well as big data and artificial intelligence applications.
With Ikarus Smart Road Network all system is protected by encrypted communications, unlike the technologies available today, Ikarus allows you to use it at any time even in the absence of the internet, all thanks to our exclusive radio technology. Ikarus allows thanks to its artificial intelligence and machine learning ability to prepare all raw data from sensors as data ready to be used by the customer’s management software.
Smart road systems that are deployed in Smart Cities require extensive sensor networks and high cyber security that create huge volumes of data on traffic flow and public transit systems and great reliability even in the absence of the internet. These systems gather data from thousands of traffic cameras, road detectors, traffic lights, parking meters, air quality and other sensors, mobility apps and connected cars.
This data can then be utilized to make traffic flow more efficient, reduce congestion and, longer-term, help city planners address bottlenecks. Citizens also benefit from open data through real-time access to traffic information so that they can better plan their journeys and avoid congestion.