IIoT Top News: Oil and Gas Early Adopters
The Industrial Internet of Things (IIoT) is not just a means for organizations to harvest and analyze vast amounts of data to drive better business decisions. It is driving innovative ways for companies to keep their employees safe and out of harm’s way. In the latest IIoT Top News, we’ll take a look at some trending stories from the oil and gas industry, a quickly growing user of the Industrial Internet of Things to help power data-driven decisions, business operation optimization, and employee safety. The possibility of an industrial wireless oilfield is now not just a pipe dream, but a reality. Wearable Technology and the IoT Improving Safety for Oil and Gas Workers For many folks, wearable technology is viewed as a simple fad of smart watches and health tracking hardware. In the grand scheme of things, we’re just beginning to scratch the surface of wearable tech, with biotechnology, embedded smart tracking hardware, and much more right on the horizon. As noted in this article from the EconoTimes, one of the industries beginning to leverage the power of wearable technology is oil and gas. Looking back at 2014, occupational fatalities nationally were 3 per 100,000 workers. In oil and gas, that number skyrockets to 15. That’s why some organizations in this hazardous industry are turning towards the IIoT and wearable tech to keep their employees safe. From fall risk mitigation, to toxin and fume inhalation prevention and diagnosis, the applications for wearable technology for oil and gas employees in the field are many. One of the current limitations for wearable tech in the field is the ruggedness of the technology, but as new devices are designed that can withstand harsh environments, you can expect to see more adoption of this potentially life-saving tech. The IIoT and Operationalizing Excellence For the oil and gas industry, the advent of the Industrial Internet of Things (sometimes referred to as Industry 4.0) holds massive promise. From reacting to changing global trade conditions in real-time, to instantaneous equipment feedback, there are myriad uses for connected tech. This recent article from IoT Business News cautions us to heed the warnings of the dot.com era and take a strategic approach. The article argues that expecting the IIoT to be a silver bullet for business decisions will only lead to more confusion. It notes that Industry 4.0 is an incredibly powerful tool, one with the ability to fundamentally change the way oil and gas organizations do business, but it is important to go “back to the basics” and understand business needs and objectives before trying to dive into the data. In the Oil Industry, IoT is Booming Oil and gas is not always known for its agility, but when it comes to the Internet of Things, the industry is moving at a decidedly rapid pace. This article from Offshore Engineer asserts that the IoT is not only increasingly becoming part of many organization’s strategies, but is fundamentally becoming embedded in the “oil psyche.” Dave Mackinnon, head of Technology Innovation at Total E&P UK, provides quite a bit of color around this assertion, and he believes that oil and gas is moving towards a “digital supply chain” that was fundamentally revolutionize the sector. Mackinnon also believes that when it comes to the IoT train, it’s either get on, or get left behind. “In an IoT world, many companies will discover that being just a manufacturing company or just an Internet company will no longer be sufficient; they will need to become both – or become subsumed in an ecosystem in which they play a smaller role,” Mackinnon said. Cyberattack Concerns Loom for Oil and Gas While the highest profile cyberattacks have been in the commerce and financial sectors, industrial targets remain at high risk. A recent article from Hydrocarbon Engineering notes that “because of its complex layers of supply chains, processes and industrial controls, makes [the oil and gas industry] a high value target for hackers.” As oil and gas organizations look to leverage the Internet of Things to bring increased value to their companies, it will become more and more important to build extra layers of security into their systems. Enabling the Connected Worker While the IIoT is indeed changing the way oil and gas companies make decisions, it is also changing the way employees perform their jobs. This article from Gas Today notes some of the ways the IoT is changing the roles of workers in the field. From AI planning and scheduling, to predictive maintenance on equipment, the connected worker faces a vastly different workplace landscape than even a few years in the past. Ultimately, oil and gas companies will look to leverage the IoT to help their employees make better decisions, as well as to stay safer and work more efficiently. Final Thoughts The Industrial Internet of Things is growing with rapid adoption across many verticals, but oil and gas is already reaping outstanding benefits from this next phase of industry. Lowering costs, optimizing oil production, and increasing worker safety are just a few of the ways oil and gas is leveraging this technological revolution.
Autonomous Tech and Self-Driving Cars Dominate the Headlines
The autonomous tech industry is poised to explode, driving job growth and technological innovation. Everything from self-driving vehicles to automated infrastructure is sitting on a precipice of advancement that can be a truly momentous step into the era of the connected world. This week, we are focusing on some of the industry news surrounding autonomous vehicles, including the manufacturing aspect, their space in a smart city, and how major metropolitan areas initially resistant to the technology are starting to come around. In Japan the Race is On for Self-Driving Cars IMAGE by Takashi Aoyama According to a recent study by the Boston Consulting Group, fully autonomous vehicles are expected to account for a quarter of all new cars by 2035 — a slice of the auto industry totaling around $77 billion. While automakers across the globe are racing to become a leader in this new tech, no where is the competition more intense than in the auto-manufacturer rich island nation of Japan. This recent article from the San Francisco Chronicle notes that Toyota, Nissan and Honda have all made significant investments in developing autonomous tech. The autonomous vehicle race is particularly impactful because of the major implications to not only car OEMs who have to fundamentally change the way they approach their product, but to the hardware and software companies building the technology that will support these highly sophisticated (and regulated) vehicles. Could Owning an Autonomous Car Make You “Traffic Elite”? IMAGE courtesy ZDNet If you end up being an early adopter of new autonomous tech, you may find your commute becomes shorter. ZDNet explains that a recent proposal from UC Berkeley grad students suggested the creation of a “Hyperland” — a special traffic lane reserved just for self-driving vehicles. If you want to be in the Hyperlane, you better not mind a brisk ride as the special lanes would allow for speeds over 100mph. The traffic on the Hyperlane would be controlled by a central computer that monitors traffic congestion, speed, and other variables through advanced sensor arrays and keeps traffic flowing freely. The project will cost a cool $11.4 per mile of road, so travel will likely come with a toll to ease the financial burden. Self-Driving Cars Job Market Booming IMAGE by Gene J. Puskar, AP With so much emphasis on autonomous driving, cities are rushing to cash in on the movement. According to the Detroit Free Press, the advanced driver assistance systems and autonomous vehicle market was around $5 billion in 2015. It’s projected to grow to $96 billion by 2025 and a staggering $290 billion by 2035. This massive market growth has led to a number of cities across the country pitching their location as the “place to be” for autonomous tech. From Austin to Pittsburgh, automakers, OEMs and even government officials are pushing for their city as the best spot for innovation in the autonomous vehicle space. So will it be Detroit or Silicon Valley? Or one of a host of other cities vying for a slice of this massive cash cow? Time will tell. Better Late than Never: New York Easing Up on Laws for Driverless Vehicles Back in 1971, New York passed a state law insisting all motor vehicles have a driver with at least one hand on the wheel at all times. Back then, this seemed that a pretty standard rule — but with the advent of self-driving cars, the rules of the game have changed. A recent article from the Democrat and Chronicle noted that until recently, New York was the only state the explicitly banned driverless cars from its roadways. However, the state has now approved a pilot program to allow the testing of driverless vehicles under certain conditions. State Senator Joe Robach was a vocal advocate for the new change. “While the technology for fully driverless cars is in the future, consumers certainly appreciate the automated technology that is currently in cars, including lane assist, self-braking, hands-free park assist and collision avoidance,” he said. “The legislation that was passed earlier this year ensures that driverless cars can be tested on the roads that future consumers in our state will use them on and are tested responsibly.” Audi of America is the first automaker to get approved for the new program, with other manufactures expected to jump on board in the coming months.
IIoT Top News — Security Remains Top of Mind
Cybersecurity has been top of mind for industry experts and consumers alike. The WannaCry ransomware is putting a legitimate scare into affected companies, although many are apparently preparing to call the hackers’ bluff. Yesterday, another cyberattack was announced as well, and it has the potential to be far more lucrative for the developers. The common denominator between the two? A leaked exploit developed by the NSA that leverages a Windows file-sharing protocol. These attacks are indicative of the long-term game of cat and mouse that the government and private enterprise faces for the foreseeable future of security and counterintelligence. Moving forward, the growing network of connected devices for the Industrial Internet of Things (IIoT) faces similar security threats. This week, we found several stories demonstrating some of the solutions surrounding those potential security issues. The 9 Best Practices for IIoT from a Dell Security Expert At a recent presentation for 2017 Dell EMC World Conference, Rohan Kotian, Dell EMC’s senior product manager for IoT security, spoke about his nine best practices for improved IIoT security. His number one strategy? Simply understanding the concerns. Many IoT devices come out of the box with few security controls in place, and understanding the risk is the most important step in addressing them. In this article from Tech Republic, you can read Mr. Kotian’s other nine best practices, including studying the attack trends, classifying risk, and leveraging fog computing. IIoT Market Expected to Approach One Trillion Dollars by 2025 Grand View Research writes that the industrial Internet of Things will experience explosive growth over the next decade, going from a $109 billion industry in 2016 to an expected $933.62 billion by 2025. The massive market increase will be driven by a number of factors, one of which continued investment by government agencies and corporate leaders. As the report states, “The role of the Internet of Things (IoT) is increasingly becoming more prominent in enabling easy access to devices and machines. Government-sponsored initiatives and innovative efforts made by key companies, such as Huawei, GE, and Cisco, are anticipated to enhance the adoption of IIoT worldwide over the forecast period.” IIoT Presents Unique Security Challenges Security is always a top priority in the Internet of Things, but IIoT applications present unique challenges. In this article from CSO Online, Phil Neray, CyberX’s vice president of industrial cybersecurity, writes that despite the growth of IoT applications in oil, gas, electric, and pharmaceuticals, “The fact is that all of these devices were designed a long time ago.” That means IIoT innovators have the challenge of integrating the newest technology into systems that may be decades old. This sort of retrofitting can make security a real challenge and there are few experts available who have both the knowledge of legacy systems and the latest IIoT solutions. Sprint to Deploy LTW Cat 1 by End Of July The Internet of Things relies heavily on low-power communication protocols to perform, so a recent announcement on FierceWireless.com that Sprint will be releasing LTE Cat 1 by the end of July is music to IoT developer’s ears. LTE Cat 1 is designed to support low-power applications on the Sprint network such as vehicle telematics and industrial IoT applications. “As one of the leading enablers and solution providers of the internet of things, Ericsson believes in its power to transform industries and capture new growth,” said Glenn Laxdal, head of Network Products for Ericsson North America. “Ericsson looks forward to partnering with Sprint to deploy Cat M1 next year and bring the transformative power of IoT to the Sprint Nationwide network.” The announcement also noted that Cat M would be following in mid-2018. TE Cat M1 and LTE Cat NB1 will support other applications requiring ultralow-throughput and power consumption.
IT/OT Convergence – The Impact from the Industrial Internet of Things
Without question, the number of connected sensors and devices on your IIoT network are going to increase, and also without question, the volume of data created by these devices on your IIoT network are going to increase as well. Both increases are intended to improve operational efficiency and streamline business processes. As a result, your Information Technology (IT) and Operational Technology (OT) departments will likely need to adopt new strategies. An increasingly popular strategy is IT/OT convergence. The Bandwidth Burden For many industries, SCADA and M2M networks have historically used serial communications for operational networks. This has changed and is changing for many. As networks transition from serial to Ethernet communications, data is now freed for routing to any business system. There is a new twist for SCADA, M2M and now IIoT networks that have limited bandwidth capabilities. With more business systems needing critical data to improve business process, utilization of bandwidth on networks with already-limited bandwidth is also increasing based on the traditional Poll/Response or Request/Response model. To reduce the bandwidth burden, systems are now transitioning from Poll/Response operation to a Publish/Subscribe model. There are several benefits to the Publish/Subscribe model. Sensors or devices in bandwidth limited networks can publish data when events change or select criteria are met. This reduces the demand for network bandwidth in two ways; 1) there is no prerequisite Poll message, and 2) devices publish when needed. Publish data is routed to a Broker or Publish/Subscribe server that operates on networks where network bandwidth is not a limitation so any number of subscribers can subscribe needed data without burdening the IIoT network. While the Publish/Subscribe model is a significant improvement to IIoT network efficiency, it is not a panacea for all operational information. Network monitoring systems, e.g. SNMP based systems, will still need to poll devices to gather operational, performance and prescriptive data; essential for proactively maintaining an efficient and operational IIoT network. Secure Devices to Support Convergence Newer sensors and devices are also being designed with security in mind because no legitimate manufacturer wants their IIoT device to be part of a DDoS attack, as we saw in 2016 with the Mirai DDoS attack. While IIoT device security services and features are rapidly improving, it is still incumbent on OT and IT organizations to: Train personnel on network security because the human element can still be the weakest part of any network, e.g. phishing emails, Deploy networks with Defense in Depth so there are numerous barriers to obstruct and deter entry with timely audit trails to identify entry, and Perform periodic Risk Assessments and implement action plans. SCADA, M2M and IIoT networks are operating more as IT networks thanks to the close work between OT and IT groups and their convergence. Want to learn more on this topic? Join my presentation at the ENTELEC conference on Thursday, April, 27, 2017 at 2 p.m.
2017 IIoT Prediction Series, Part 5: Major Public Utility Company Closes Doors
As 2017 kicks into full gear and a particularly interesting 2016 fades into the rearview mirror, we took a look around the IIoT landscape to see what this year might potentially have in store. Today, we wrap up the 2017 series – let us know what you think! On Tuesday, we started our predictions by looking at the potential development of Fog Computing at the Edge and its impact on cybersecurity. Wednesday, we predicted that the rise of IIoT applications will outpace consumer IoT apps. Thursday, we wrote about the challenge facing IIoT businesses as the workforce ages and new skills are needed for the ongoing IT/OT Convergence factor. On Friday, we predicted that the growth of smart cities infrastructure would force a connectivity standard for the IIoT industry. A Public Utility Closure in 2017 The maturation of interoperability standards and evolution of remote data collection technologies are forcing critical infrastructure and utility organizations to adapt at a new pace, in light of aging infrastructure and high percentages of the workforce that are nearing retirement. Existing management continues to struggle to match the IT and operations resources needed to build a comprehensive, integrated portfolio of applications that must work together to support the organization’s goals. The prediction A public utility company will close its doors in 2017 due to challenges surrounding the adoption and implementation of modern IoT technologies. There are numerous forces that support the prediction. Here’s our take on the big ones: Are you Taking Advantage of Fog Computing at the Edge? According to analysts, utility organizations are becoming more comfortable hosting critical infrastructure data and applications in the Cloud. But, in an effort to further optimize processes and shorten response times, utilities need to explore ways to host applications at the device/sensor level (i.e., the Edge otherwise known as Fog Computing). A decentralized network architecture that brings computing power closer to where data is generated and acted upon enables utilities to analyze, control and automate closer to the “Things” in the Industrial Internet of Things. In electric power, for example, where even milliseconds are vital, certain processes can move away from the Cloud and closer to the Edge. In an industry where cloud computing presents its own sets of challenges, can utilities go one step farther to look at new ways to optimize the “things” at the edge? IT-OT Convergence Presents Plenty of Challenges With identifiable business benefits and rapidly developing technologies that are closing the IT/OT divide, there are functional and operational differences between IT and OT groups that exist and complicate integration or convergence. IT and OT groups typically have fundamentally different charters, focus and personnel within their respective organizations. The challenges to IT/OT convergence are not the sensors, hardware, software or technology, but how each group perceives each project or opportunity and in turn, the solutions, which are skewed by their respective domains. In order for IT/OT convergence to be successful, communication is essential and in turn, there needs to be a clear understanding of each group’s roles – something we see utility organizations struggle with mightily, especially as an aging workforce butts heads with the next generation of digital-centric employees. However, the careful selection of technology for IIoT or industrial applications can help drive the convergence of IT/OT systems. For example, in electric utilities, the rollout of Advanced Metering Infrastructure (AMI) and Distribution Automation (DA) networks is truly an OT application. The source of the data will fuel IT/OT convergence because it is the data analytics applications such as outage detection, fault management, prepay and others that bring value to the Smart Grid. If utilities can proactively take a systems level view of its infrastructure and integrate legacy systems with modern IT systems, the convergence of IT/OT groups may prove less strenuous. Cyber-threats to the Utility Utilities are at the forefront of the Industrial IoT with complex and comprehensive networks for advanced metering infrastructure, energy management, distribution management and substation automation. The estimated growth in IIoT applications for utilities and energy industries will increase to more than 1.5 billion devices by 2020. This explosive growth in networks, smart sensors and devices, and automated systems requires utilities to address, implement and monitor the security of their data networks because these are the networks providing command and control of critical infrastructure that is the Smart Gird. As technology has evolved, so has the intelligence and sophistication of cyber terrorists and their tactics. If utilities do not build a comprehensive security layer, especially across its internet-connected systems, there is little faith they’d be able to combat against such tactics as Denial of Service and Intrusion – the two top threats according to the Federal Communications Commission (FCC). If utilities don’t invest in hardened/proven networking and communications equipment, network access control programs, data encryption strategies, advanced monitoring technology and explore various other tactics for limiting exposure to harmful cybersecurity threats, they may be forced out of business anyways. Today, it is not a matter of “if” a cyber-attack is going to take place, but when. We hope you are ready. All in All We hope this prediction is one that doesn’t come to light in 2017, especially with all the direct investments being made in our critical infrastructure projects across the nation. However, a competitive organization is both agile and proactive in meeting market demands – something utilities need to learn from as business continues. That does it for our list of 2017 IIoT predictions – hope you enjoyed and please be sure to send your questions and comments below!
2017 IIoT Prediction Series, Part 3: IT/OT Convergence & the Next-Gen Workforce
As 2017 kicks into full gear and a particularly interesting 2016 fades into the rearview mirror, we took a look around the IIoT landscape to see what this year might potentially have in store. We will be unveiling five IIoT-related predictions throughout this week and into next, so stay tuned and let us know what you think! On Tuesday, we started our predictions by looking at the potential development of Fog Computing at the Edge and its impact on cybersecurity. Yesterday, we predicted that the rise of IIoT applications will outpace consumer IoT apps. FreeWave Predictions 2017 As our prediction series continues, we’d like to examine the industrial IoT (IIoT) workforce. Most of the industries that leverage IIoT face an uncertain future as they navigate their own digital transformation, coupled with the pressures of an aging workforce. The biggest challenge affecting IoT talent recruitment is the skills gap – there are not enough qualified applicants to take on new digital-centric, IT roles. From a business perspective, IT/OT convergence further complicates the issue. Enterprises are transforming the way they operate and it impacts everyone – especially the folks on the operations side dealing with legacy systems. Each of these factors has created a talent gap for many organizations. Our IoT Recruitment Prediction Recruitment of IoT talent will continue to be a challenge, incentivizing private enterprises to directly fund secondary education programs to nurture the next generation of a digital-centric workforce. The Business Problem As organizations and enterprises reorganize under the IT umbrella to address new technology opportunities, cybersecurity threats and work towards creating a connected enterprise – there is an underlying business problem. IT teams need better visibility and control of assets in the field while learning how to integrate these people and systems into modern IT practices. Meanwhile, on the OT side, there is an entire workforce that excels at managing and troubleshooting existing legacy systems, but lacks the potential skillsets to help with new technology demands and data analysis. IT/OT convergence is challenging for many businesses and it affects all aspects of the organization. Recruitment and Solution Recruitment challenges are impacting many industries. The Wall Street Journal reported the highest number of open positions in 15 years for the manufacturing industry because the talent pool lacks the skills for the job. As IoT connects and automates more processes, this gap will only continue to grow if nothing is done proactively to change it. There also is the question of whether organizations should bring in new talent or nurture existing talent. In an effort to overcome some of these challenges, we will see enterprises (not IoT vendors) to privately fund secondary education programs to help identify and create a more skilled workforce. In addition to standard HR recruitment and training practices, we expect to see more tactics such as IoT hackathons for the industrial sector, software development and digital/IoT centric accreditations, private contests, internal skill development workshops and IIoT user conferences. This wider investment in education will benefit both the existing, aging workforce and the incoming, next-generation of workers. Stay tuned for our next prediction as we explore the future of Smart Cities across the globe.
2017 Analyst Predictions – Industrial IoT
Predictions can be enlightening as we round out the end of the year, and industry analysts covering the Industrial Internet of Things (IIoT) have begun forecasting what to expect in 2017. In the ever changing digital business landscape, companies need to keep a pulse on the technology and regulatory environments to have direction on where to focus their efforts. Over the past few years, IIoT has taken on the shared title of industry 4.0, as new ways of connecting businesses and consumers impact systems infrastructures and technology integrations across many, if not all. business lines. In honor of reigning in 2017 as a strong year for the industrial internet, we have dedicated this week’s round up to highlight some of the top IIoT analyst predictions in the coming year. Gartner Predictions: Surviving the Storm Winds of Digital Disruption By Daryl C. Plummer, Martin Reynolds, Charles S. Golvin, Allie Young, Patrick J. Sullivan, Alfonso Velosa, Benoit J. Lheureux, Andrew Frank, Gavin Tay, Manjunath Bhat, Peter Middleton, Joseph Unsworth, @rayval, @DavidFurl, Werner Goertz, @JCribbs_Gartner, Mark A. Beyer, @Alex42Linden, @noahelkin, @nheudecker, Tom Austin, @mc_angela, Fabio Chesini, Hung LeHong | Published on @Gartner_inc “Digital business innovation creates disruptive effects that have a wide-ranging impact on people and technology. However, secondary ripple effects will often prove to be more disruptive than the original disruption. Digital strategists must actively identify secondary effects when planning change.” Gartner Also Suggests That its Time to, Harness IoT Innovation to Generate Business Value By @chetster | Published on @Gartner_inc “The Internet of Things is moving beyond concepts and trials, and has begun to deliver business benefits across a range of industries. Studying innovation and how early use cases have fared will help CIOs and IT leaders capture business value.” Forrester Predictions 2017: Cybersecurity Risks Intensify By @AmyDeMartine, Jeff Pollard, @infosec_jb, @acser, @heidishey, Christopher McClean, @jz415, @merrittmaxim, @sbalaouras, Trevor Lyness, Peggy Dostie | Published on @forrester “The connected world has arrived; we live and work in it. In this new reality, the next 12 months will see battles rage that will determine the amount of control individuals have over their own data and right to privacy as well as the offensive and defensive responsibilities of our governments. This report guides security and risk (S&R) pros through five predictions for 2017 that highlight escalating ramifications of poor security hygiene and how to mitigate potential damage.” Ovum 2017 Trends: Radio Access Networks By @sonixag | Published on @OvumICT “This is part of Ovum’s 2017 Trends to Watch series. This report looks at what Ovum believes will be the major trends next year when it comes to the radio access network (RAN) market.The RAN market remains a challenging area and the need for spectrum remains a constant concern. RAN vendors are looking for new growth areas, and everybody wants 5G and they want it now. All of these factors are driving market trends.” IDC 2017 Forecast: Manufacturing Worldwide By @kimknickle, Simon Ellis, @hashtonIDC, Christopher Holmes, @jeffhojlo, @ivanoortis, @VeronesiLor, Jing Bing Zhang | Published on @IDC “This IDC study provides manufacturers with the top 10 predictions and underlying drivers that we expect to impact manufacturers’ IT investments in 2017 and beyond. Technology leaders and their counterparts in the line-of-business (LOB) operations can use this document to guide their IT strategic planning efforts. According to Kimberly Knickle, research vice president, IT Priorities and Strategies, IDC Manufacturing Insights, “Technology continues to reshape the relationship between business and IT for innovation and digital transformation. Manufacturers want to work smarter using digital technologies in their products and processes and throughout the value chain. Our predictions create a framework for IT and line-of-business executives to plan and execute technology-related initiatives in the year ahead.” As we conclude our highlights this week, we should realize these predictions are just the tip of the digital iceberg anticipated for 2017. The future could see more intelligent technologies communicating in industry 4.0 with machines processing more data. We could also expect to finally dig deeper into our IoT connected understanding. All we can do is hold tight as the next corner of digital transformation unfolds.
IoT Emerge Recap
IoT Emerge bounced on the scenes of Chicago this week. Yes, aside from the long awaited World Series win, an IoT conference was happening in this windy, action-packed town. The conference boasted two days of keynotes, technical sessions, workshops, live demonstrations, hands-on training and plenty of opportunities for networking with industry peers. The IoT Emerge mission is to continue to educate and promote cross-industry functions with a focus in Industrial IoT, smart cities and IoT engineering. Below, we’ve highlighted the best moments from the week. IoT Emerge: What have we learned? Back in 2011, research firm Gartner said the Worlds of IT and Operational Technology Are Converging. We believe IT/OT convergence is a critical concept: it promotes a single view of an enterprise’s information and employs process management tools to help ensure that every person, machine, sensor, switch, device, etc. in an organization has accurate information in the best format and at the right time. We learned optimizing the business process is vitally important. Decisions will be made in real time with higher levels of confidence because more information will be available regarding the event or condition. For example, load shed or curtailment events will be based on energy availability (IT sources) and demand throughout the distribution network (OT sources). Event management in an IT/OT converged networkwill execute as a closed loop process by targeting a feeder or substation, issuing curtailment signals to customers under that substation or feeder. This gauges real-time response and repeats as required to achieve the target reduction time. What other insights did we gain from IoT Emerge? Myths about IoT Engineering: The Industrial Internet of Things (IIoT) is not ready to support predictive analytics With commentary from Eddie Garcia @freewavetech | Published on @ElectronicDesgn “When most people think about the IIoT, they think of machine-to-machine communications (mostly supported by RF technology) that have dominated the industrial sector for years. However, the convergence of IT and OT practices have seen intelligence moved closer to the access layer than ever before. New communication platforms have improved to the point where big data transport can come directly from the sensors at the edge (OT) all the way to the servers in the back office (IT). The industrial sector is closer than it’s ever been to supporting the future of data collection, transport, and aggregation, ultimately resulting in the huge data sets necessary to support predictive analytics at the IT/OT level.” IoT Emerge and Up-Close and Personal IoT Experience By @JKerns10 | Published on @MachineDesign “As IoT applications and case studies start piling up, some companies still wonder where the Industrial Internet of Things (IIoT) fits in their production lines. There’s lots of information on the internet about the IIoT, such as how IIoT worked in one application or how much a company could save by using a specific IIoT product. While examples and case studies offer ideas on how IIoT might fit your production line, having a chance to talk to experts directly about your applications and concerns can help ease concerns.” IoT Emerge: Looking ahead to the future By @IoTEmerge | Published on @cote_se IoT Emerge a chance to shed light on the possible digital future. Smart cities and Industrial IoT top the watch list. Along with the conference buzz, conference organizer Penton Publishing also launched the IoT Institute aimed at educating the growing IoT world. Color your IoT World By @IoTEmerge Coloring is not just for the kiddos. IoT Emerge worked with local Chicago artist Rawfa to create a wall sized coloring book. Conference goers got to take a break from the IoT information overload and color to their harts content. Industry thought leaders did an excellent job representing the broad range of emerging IoT applications this year, and as we move steadily toward the close of 2016, it’s clear that we can expect some exciting and innovative technology applications in the not-too-distant future.
Hacking: A Cybersecurity Top News Edition
Hacking became a scary reality last week as we all witnessed Twitter, Airbnb, Amazon, PayPal, CNN, Spotify and Reddit simultaneously get hit with a massive Denial of Service (DoS) attack. This attack also interrupted hundreds of other sites and internet connected devices from functioning properly. For months, we’ve been hearing about the need to protect and secure our networks and devices. As the world steps further into the digital landscape, it’s clear that new advancements around cybersecurity tactics and strategies need to be addressed. Many are calling for standardization as a means to collectively thwart attacks and identify problem areas. Due to the proliferation of IoT technology and billions of connected devices, our critical infrastructure projects are those that may deserve the most attention in the short term. Read on for this week’s top cybersecurity news highlights that shine a light on the hacking aftermath and the inherent cybersecurity risks we should all be aware of in the IoT space. Exposed to Hacking Cybersecurity Experts are calling for Internet of Things Standards in Wake of Massive Attack By @ethanbaron | Published on @mercnews “In the assault Friday that blocked access to hundreds of websites, including Twitter, Airbnb, Amazon, PayPal, CNN, Spotify and Reddit, thousands of hijacked “internet of things” devices bombarded a New Hampshire company called Dyn with traffic.” The Lessons From the East Coast CyberAttack By @josephinecwolff | Published on @Slate “This is an important lesson of online security and often an incredibly difficult one to impress upon users: Even the accounts and computers and machines that you don’t care about being.” Why Businesses Need to Secure Connected Devices to Win Consumer Trust By @jeffjohnroberts | Published on @FortuneMagazine “The issue now is whether the government should do more to regulate the Internet of things (IoT), or if we can instead trust companies and the market to solve the problem.” This Attack Was Different–Cyber Threat Draws Utility Warnings By @BlakeSobczak | Published on @EENewsUpdates “Department of Homeland Security officials, who say they are investigating the attack on Dyn with the FBI, have warned that some smart-grid devices could be inadvertently swept up into attacks on other websites or key internet infrastructure.” Top Five Biggest Threats to IoT Security By Hannah Williams | Published on @cbronline “Hackers have recently been able to obtain access to a wide variety of connected devices, which has prompted new concerns over the security threats of the Internet of Things.” Cybersecurity: The Biggest Threat to Automated Trucking By @AaronHuffCCJ | Published on @CCJnow “A single point of failure, or security breach, in a supply chain has far-reaching effects for all parties. Transportation companies must therefore think beyond their own IoT network perimeter, he advises, as the march towards automation continues.” As we conclude another round of top news highlights, we hope to have opened your eyes to modern cybersecurity considerations. As technology continues to evolve, we must continue to learn how to better protect our IoT interests upon exposure to hacking.
Industrial Communications and Security Go Way Back
Industrial communications and security have a long standing history. In 2016, industrial network operators can collect more data from geographically dispersed field assets than ever before. As we head towards fully connected systems through the Industrial Internet of Things (IIoT), communication technology manufacturers continue innovating and creating enhanced solutions that will meet the Big Data demands of today and the future. Data has become one of the most valuable assets an organization can own. It can help operators improve operational decisions, save manpower and improve employee safety by keeping them out of dangerous environments. Industrial Communications Industrial communications networks have more access points than ever before and we will continue to see more IIoT devices in service as connectivity improves in challenging environments. The IP-based technology incorporated into Industrial IoT communiations make it easier to deploy and talk to sensors, but it also makes it easier for intruders to see and snoop on valuable data streams. Anytime we talk about the collection and transfer of large amounts of critical data, security becomes an important part of the conversation. If you’re a manufacturer, you are probably nodding your head in agreement or maybe even thinking that is an obvious statement. However, based on the major cyber-attacks that have occurred in industrial networks over the past decade it is clear that a security focus from design to deployment isn’t always the case. Take a look at this infographic, “A History of IIoT Cyber Attacks and the Future of Security,” to see just how many huge scale cyber-attacks have impacted a variety of industries. While the infographic offers insight into major IIoT security breaches we’ve seen in the past decade or so, it does not provide the entire picture of industrial communication technology history and security practices. It does not highlight the fact that industrial operations networks have been using communication devices for decades and many industrial systems have been “online” since well before 2007. In fact, wireless machine-to-machine (M2M) communication solutions have owned the command and control of field assets for decades. Looking Closer at Solutions Top-tier industrial communication solution manufacturers have been leveraging security to prevent cyber-attacks and vulnerabilities on data long before the first major breach identified in the infographic. For years, these manufacturers have used a variety of techniques beyond physically securing the devices, including frequency hopping spread spectrum (FHSS) based devices with security standards like TLS/SSL and basic AES-128 data encryption. Some communication technology providers created solutions that are trusted by the US military for secure mission critical data transmission and have been used for more than 20 years. If one thing is clear in the efforts to protect data over time, it is that a critical infrastructure project is only as reliable and secure as the technology serving it. Security will ultimately be the limiting factor on how much IIoT technology is deployed. A modern operator striving for an 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 and where they want to be in this triangle. As the industry has evolved, so have the security practices. But what hasn’t changed is that an operator looking to build an IIoT network must carefully select their technology and look for the solutions that are focused on security.
