Internet Of Things (IoT)
Internet Of Things (IoT)
The Internet of things (IoT) is a system that interrelates computing devices, mechanical and digital machines together. They possess unique identifiers (UIDs) and can transfer data over a network without requiring human-to-human or human-to-computer interaction. Over the past few years, we at Fidenz have been working with IoT systems. We have evolved and adopted the convergence of multiple technologies, real-time analytics, machine learning, commodity sensors, and embedded systems.
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We give prominence to IoT security technologies that deal with protecting IoT devices and platforms. We ensure to safeguard them from two attributions; information attacks and physical tampering. This involves encrypting communication and addressing new challenges like impersonating ‘things’ or denial of sleep attacks that involve draining batteries. IoT security is often considered complicated due to its involvement with many “things: using simple processors and operating systems. These can not support sophisticated security approaches and hence requires special attention on their protection.
The information collected by “things” are utilized by IoT business models in numerous methods demanding new analytic tools and algorithms. It is estimated that the needs of the IoT may diverge further from traditional analytics with the increase of data values over the next five year. Hence, Fidenz puts in a lot of research and development on this subject to make sure we stay on top of our game.
IoT Device (Thing) Management
Nontrivial “thing’ that are enduring requires persisting management and monitoring. This includes several key elements such as device monitoring, physical and security management, diagnostics, crash analysis and reporting, firmware and software updates. At Fidenz, we make sure the tools used are capable of managing and monitoring thousands to millions of devices.
We pride ourselves on the deep technical skills that we have in understanding the implications of processor choices. IoT devices use processors and architectures that define many capabilities. These include strong security and encryption, power consumption, revolution to support an operating system, updatable firmware, and embedded device management agents.
IoT Operating Systems
The past traditional operating systems such as Windows and iOS were not designed to comply with IoT applications due to several reasons such as higher power consumption, the need for fast processors. In certain scenarios, it lacked features such as guaranteed real-time response. They further have too large memory footprints for small devices and hence did not support the chips that are used by IoT developers. However, at present, to meet these requirements, a wide range of IoT-specific operating systems has been developed to suit the needs. We are well versed with each of these hardware footprints and features to deliver the best from our solutions.
Event Stream Processing
Fidenz has worked with certain IoT applications that generate extremely high data rates that must be analyzed in real-time. It is common to see systems creating tens of thousands of events per second, whereas millions of events per second can occur in certain situations. We have the experience and the tech skill to process very high-rate streams and perform tasks accordingly. We address these requirements using real-time analytics and pattern recognition with distributed stream computing platforms.
In an IoT platform, many infrastructure components of an IoT system are bundled into a single product. These services fall under three main categories. They are: Low-level device control and operations. This includes communications, device monitoring and management, security, and firmware updates. IoT data acquisition using transformation and management. IoT application development. This encompasses elements such as event-driven logic, application programming, visualization, analytics and adapters connecting enterprise systems.
IoT Standard and Ecosystems
To interoperate and communicate IoT devices, Standards and their associated application programming interfaces (APIs) are an essential requirement. Many IoT business models rely on sharing data between multiple devices and organizations. The emergence of IoT ecosystems will require organizations to create and develop products to support multiple standards or ecosystems. A preparation for updates is also necessary to update products accordingly with the rise of demand, APIs and new standards.