IT Security Dynamics and the Industrial IoT
The quest to understand production and operational factors, distribute this information to business systems and people within an organization, and directly improve business processes and profitability as a result is not new. In fact, it has been embraced by companies for decades. This collection of operational information for use in information or business systems is known as IT/OT convergence. Getting IT and OT systems to work together to maximize business efficiency — while avoiding negative consequences, risks and pitfalls in the process — is a tall task. However, thanks to new technologies, this process is becoming more practical and is creating the opportunities for huge economic benefits when these two disciplines are successfully integrated. But, how does this convergence affect the security paradigm in large, geographically dispersed enterprises? Let’s Talk Security Traditionally, companies have a corporate firewall that divides the corporate IT space from OT space. With an Internet of Things (IoT) communications network, there is a need to protect the sensors and new applications on the OT side. However, even if there is a secure communication link, if the individual devices that are connected on the OT side become compromised and the threat has access to that communication link, a hacker can push malicious data, cause denial of service (DoS), or introduce malware or viruses to the entire network. There are many of ways to run into problems on the IoT front if companies are not careful in their network design security implementation. On the IT side, corporate network security typically sees many threats. Those threats require significant attention, and consequently IT organizations have numerous options and tools to use, such as intrusion detection, log monitoring, network behavior monitoring, network inspections, whitelisting, firewalls, and more. The IT space has a much different attack surface than OT because with an IT network, the company can physically secure the building and control where the data goes in and out. Data escaping the building is relatively small in comparison to the OT space. WiFi that is leaking outside the building could be a vulnerability, but there are tools and ways to lock down that type of threat, and checkpoints where the IT department can analyze the traffic going through the network. In IT, bandwidth is plentiful and the network overhead associated with security is generally not a major factor. Considering Industrial IoT Networks IIoT networks, on the other hand, can span many miles with potentially hundreds of thousands of data points. An IIoT network likely consists of small embedded devices with long lifespans, making it very efficient. However, they are generally not like the Windows operating system, which is consistently conducting massive updates. Some embedded technologies don’t allow any updates, making it essential to carefully select the best devices for a network. Having thousands of these edge devices is where organizations will begin to see IT/OT convergence – many more points in the field where threats could be coming into the IT network. Industrial organizations today are creating a connected infrastructure with IP-enabled sensors or IP/IIoT-enabled Access Gateways. The data generated by sensors at an asset location can be valuable to more than just the central control system. This might mean M2M communication with sensors talking directly to each other. It may mean that multiple systems consume the live, real-time sensor data directly from the field. It may even mean that operators connect their sensors directly to the cloud or other back office systems. If there is a way to share critical data while addressing security issues that can help provide information to key data users, then that information becomes increasingly valuable. Security Through Obscurity is Not a Solution IIoT solutions often utilize the widely deployed security technologies from the Internet to avoid the custom, one-off solutions of past industrial security, when it was used at all. IP technology makes it easier to deploy and talk to sensors, but it also makes it easier for intruders to see and snoop on valuable data streams. Security through obscurity is not a solution. There are many common attack vectors for industrial devices that become even more relevant when considering the IIoT infrastructures and fully networked, geographically dispersed projects.
IIoT Top News: Manufacturing Today and Tomorrow
The age of manufacturing is moving past the dusty, oversized, broken-down warehouse located on the edge of town and into industrial 4.0. This new technological revolution is changing the way manufacturing operates within the digital sphere. Nowadays, manufacturers can track production status, machine functionality and operational flow with sensors, automation and wireless IIoT solutions. That’s why this week’s top news is dedicated to manufacturing of today and tomorrow, realizing this industry is evolving with the digital revolution. This is an exciting time for manufacturing, with more innovation integration happening across the board than in the last twenty years. As the IIoT starts to take center stage in many shop floors, new digital upgrades will require a new plan of action to deploy wireless pilot projects for automation and control. Now with the rise of smart machines in manufacturing, this industry has to shift from a product oriented world to a services market. Sensors that tell you why it is not working or machines ordering products independently when supplies run low are all examples of this new industry 4.0 revolution in action. Naturally this technological movement began in Germany back in 2011, where twenty-two percent of their GDP comes from manufacturing, this compared to only twelve percent of the GDP in the US. Although, a recent report by Cisco finds that the majority of manufacturers are not capitalizing on this digital push. It is true most manufacturers do see the importance of the digital transformation on their shop floors, but the problem comes with the implementation of those new technologies without disrupting the current production process. As manufacturers digitize, it is vital to first find the correct infrastructure to implement the IIoT, and then to adapt a new model to incorporate the technology to the main business plan. So what does the future hold for manufacturing? As some companies adapt to this digital age, it is true manufacturing can now create digital prototypes, use 3D printers and operate remotely with sensors and wireless monitoring. Being able to collect data in real-time utilizing cloud-based IIoT solutions will be the key to succeeding in manufacturing going forward. Yet, according to Information Age 2016 top predictions, “Manufacturers will have to start thinking and acting more like software companies, leveraging the software applications they build into their products as a driver to reduce manufacturing costs, increase product innovation, and capture new revenue streams.” Furthermore, IoT, data analytics, cloud, and other wireless technologies have the potential to drastically improve manufacturing. The trick, as we march to the beat of this new technological revolution, will be to look at examples of how early adaptors have grasped the IIoT. It’s understandable with everyone shouting about the IIoT, it is easy to get overwhelmed. So stop thinking about all things connected and focus on what infrastructure will support your growing digital needs on the shop floor, and then your plan of action will seem a bit more manageable. Hope you enjoy this week’s reading. As always, tell us what we missed! Enabling Manufacturing Transformation with the IIoT (PTC) This push for IIoT is transforming the way manufacturing operates and functions as a whole. PTC suggests that, “As these innovations and pilot projects begin to emerge as broadly deployed best practices, the industry will start to see the emergence of business model transformation and the visions of Industries 4.0 and Smart Manufacturing will start to become a reality.” Machine Learning (The Economist) As manufacturing becomes digitized, the industry has to adjust from being a product focused world to a services market, with smart machines installed on the shop floor. The Economist believes that, “For many manufacturers—in Germany and beyond—the principal sticking-point in making this digital leap is often cultural.” Survey: Manufacturers’ Digital, Service Capabilities Lagging (Manufacturing.net) Manufacturers see the need for adding more digital components to the shop floor, but recent CISCO report finds that many manufacturers are still not capitalizing fully on the IIoT. “One challenge is on the technology side, making sure that the right infrastructure is provided,” said Dirk Slama of Bosch Software Innovations. “The second challenge I would see is more on the organizational level, to make sure that you somehow help your organization move towards these new business models.” The Factory Future (Manufacturing Today) The future of manufacturing will depend on the industries abilities to incorporate real-time results with their wireless IIoT solutions. Manufacturing Today has stated that, “More manufacturing will need to be able to harness all that data via the cloud to meet demands from customers and potentially legislators to fully track the entire lifecycle of their products—from creation to disposal of ideally recycling.” Manufacturing’s Digital Future (Industry Week) The digital future of manufacturing will incorporate the data analytics, cloud and many other wireless IoT solutions. Industry Week believes that, “Many companies are leveraging interconnectivity to improve their own factory productivity, the factory-floor blocking and tackling of reducing downtime, cutting costs, reducing cycle time, improving OEE, etc.
Today’s IIoT Security Challenges
For decades, Supervisory Control and Data Acquisition (SCADA) systems have played a significant role in industrial operations. Industries like oil and gas, electric power/smart grid, agriculture and utilities have implemented SCADA systems and networks to collect data and automate processes, and are always looking to automation systems for more effective ways to operate. The ability to collect more data from geographically dispersed field assets in remote locations has driven the need for enhanced communication technologies. With the emergence of continuously improving wireless machine-to-machine (M2M) technologies, networks have more access to data points than ever before. The number of sensors and data points collected will continue to rise dramatically with improved connectivity. This collected data helps operators improve operational decisions, save manpower and, in many instances, keep employees safe by avoiding dangerous environments. Today, industrial network operators are increasingly implementing end-to-end Internet Protocol (IP) connectivity or the Internet of Things (IoT), enabling more capabilities at the edge of these networks. This does not make SCADA systems obsolete by any means; it opens the door to greater possibilities of enabling new applications and analytics with every single data point being captured in the system. So What’s the Security Tradeoff? There are many implications for the concept of a completely connected enterprise in terms of network security. Critical infrastructure projects are only as reliable and secure as the technology serving them. Security, therefore, will ultimately be the limiting factor on how much IoT technology is deployed. With security, the traditional trade-off is either “easy to use” or “secure”— but not both. We often consider a third tradeoff as well of features, though in most cases, operators are not willing to trade off features, but it is certainly part of the equation. An operator striving for an Industrial IoT (IIoT) network must look at SCADA security, the convergence of Operations Technology (OT) and Information Technology (IT), and make a thorough assessment of what will allow them to achieve a secure data communications network. Some of the top security challenges for the IIoT today include: With more data being transported than ever before, it’s important not only to secure assets, but to secure the communication link itself. Traditionally, SCADA systems have been on the outside of a firewall from the corporate IT network. Newer SCADA systems that use Ethernet devices are more security focused with measures such as VPN, secure sockets, encryption and dedicated log-ins on the devices. One Final Thought There are many benefits to the concept of a completely connected IoT system, but this also implies more crossover between IT and OT systems. Companies need to prioritize security in their quest to create end points for all of their field assets. Some industries, like the smart grid, are already experiencing mandates that ensure a more cyber-secure network. With others, however, it is still up to the organization to make security a top priority.