Cyber-criminals and Cyber-terrorists are looking at IoT devices and their installations as an opportunity to steal information, extort money and attack national critical infrastructure. One of the most simple but efficient attacks is the Denial of Service attack, is a simple way to take out and extort cloud-based services. There is also targeted ransomware, common malware, DNS hijacking, and other tools these criminals and terrorists use. There is one common trait between these attacks, and that is that they in one way or another exploit centralized infrastructure solutions, be it at index, data, service, or user level. These active risks are not done by some lone “hacker” in a basement, we are talking about sophisticated and well-funded organizations with highly educated staff. To believe that cyber-security in its current form of attacker/defender is going to work when any takeout of data flow or service will be directly and immensely disruptive to our economy, security and lives are to not take these risks seriously.
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The saying Time is Money and for Industrial IoT is all about production. Unfortunately IIOT is often a retrofit on to legacy systems. This can mean the systems are not communicating well enough to provide predictive and prescriptive information. This is only one example of the considerations that have to be considered to make an IoT solution scalable and efficient.
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Building infrastructure’s layered subsystems have, for decades, generated a tremendous amount of data. But this data was left locked up and siloed in proprietary ecosystems and only used for diagnostics and fault detection. Many of these devices, wrapped in obfuscated protocols by building technology vendors, make it difficult–if not impossible–to use data for auxiliary purposes.
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One of the biggest obstacles to IOT success is lack of experience. Another is the cultural differences between OT and IT. While both organizations are used to adapting technology, the IT world is used to processing data, while the OT world is used to producing goods and services via technology. Both perspectives are important, what is needed are people with experience in developing IoT specifically. Having a third party develop the IOT solution allows the company to take advantage of the experience of people who have a history of developing the IoT solution without impacting existing staffing and disrupting business. In this session we discuss how IoT Solutions can be accelerated by the use of outside resources.
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Temperature is a very important parameter in the preservation of perishable goods like vegetables, fruits, meat, milk, fish, frozen products and sensitive products such as vaccines and medicines. Changes in temperature cause deterioration of the products. For this reason, the cold chain integrity must not be broken at all stages from production to consumption, so that the freshness of the products has not deteriorated. In cold chain applications, it is of great importance to measure the temperature frequently and continuously from the first adjustment. Although warehouses are known to routinely have broken refrigerators or underperforming equipment, manufacturers do not regularly check the temperature 24/7, and it becomes more difficult to control the process during transportation. It should also be emphasized that timing is critical in cold chain transportation. The Internet of Things (IoT) is developing rapidly with the principle of connection from everywhere, with everyone, with everything, at every time. As a result of this fact, cold chain transportation has gained a remote temperature monitoring system in recent years. Both carriers and manufacturers can now track the vehicles and make remote guidance, especially in the solution of temperature-related problems.
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Private networks and IoT will continue to be closely tied and the importance of this relationship will only continue to grow as the number of private networks increases and IoT connectivity on a global scale expands. This session will cover: • Understanding the necessary elements needed to establish a private network • Understanding the private wireless ecosystem; the key players and their critical roles • Use Case walkthrough: End-to-end network view for IoT services • Extending secure connectivity between private and macro cellular networks and alternate enterprise locations
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With the advent of wireless IoT networks, intelligence at the edge and ubiquitous use of AI and ML in processing sensor data in real time, traditional reactive customer support models will be replaced by highly efficient, proactive models that will greatly reduce provider costs, improve customer satisfaction and open up new revenue generation opportunities.
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The importance of improving speeds by processing data locally before sending it back to your headquarters with edge computing.
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What types of architectures are there for Private Networking? You can augment your current networks and build a closed infrastructure. You can have the carrier geo-fence and augment their network but treat your traffic in that location as a “free zone”. You can use network management to go between public and private networks. You can even implement a true 5G core before the carriers have fully deployed their advanced services. This session looks at the various ways networks can be deployed.
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Where are the real advantages to Private Networking (like surpassing the carriers present implementation to get URLLC). Or enabling flexibility in the production area and avoiding the cost of rewiring. How about the ability to manage data securely and efficiently for better analytics and AI. This session is about the benefits available when using private networks for specific applications.
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