What is your first line of defense against cyberattacks? Secure endpoints! Endpoints are everywhere in the IIoT landscape. Without proper security, Industrial Internet of Things (IIoT) systems are not trustworthy, putting organizations, their missions and the greater public at increased risk. The viability of the IIoT depends on proper implementation of security to counter the growing and ever changing threats that are emerging.
On February 22, 2017, editors of the IISF and security experts from the Industrial Internet Consortium will discuss the endpoint protection/security model and policy in its Industrial Internet Security Framework (IISF) document and present a real-world customer use case for an approach taken to secure an industrial system.
Today's computing infrastructure is changing dramatically to support new requirements in design and structure. This is no more evident than in the Internet of Things, where new types of machines driven by vast, complex industrial, distributed systems, can’t operate without connectivity. These new machines will transform our infrastructure into smart freeways, distributed power generation and autonomous driving cars, etc., revolutionizing the workplace and our lives for years to come.
These new IoT systems need data-centric technology that directly addresses real-time systems to explicitly manage the communications “data model.” No matter what application – from financial trading platforms, to medical devices, to smart electrical grids, to exploration and production and to transportation – industries need solutions to find right data then communicates it to its intended destination in a reliable, flexible, fast, and secure manner.
To learn more about the proven standard for data-connectivity in mission- and business-critical systems join OMG's webinar featuring experts from the leading DDS middleware vendors; PrismTech, RTI and Twin Oaks Computing
Without proper security, Industrial Internet of Things (IIoT) systems are not trustworthy, putting organizations, their missions and the greater public at increased risk. The viability of the IIoT depends on proper implementation of security to counter the growing and ever changing threats that are emerging.
Addressing this challenge is critical to the success of the Industrial IoT, Industrie 4.0 and the Industrial Internet revolution. To that end, Industrial Internet Consortium members have developed a common security framework and an approach to assess cybersecurity in Industrial Internet of Things systems: The Industrial Internet Security Framework (IISF).
On January 26, 2017, editors of the IISF and security experts from the Industrial Internet Consortium will provide an introduction to the approach needed to secure industrial systems and offer insights gained from one of our testbeds encompassing several security technologies.
Join the webinar to learn:
• The importance of securing the IIoT and why it differs from securing the IoT
• The value of securing industrial Internet systems
• Recommendations for engaging OT about developing an IIoT strategy
Don’t miss this webinar – first in a series of monthly webinars offered by the Industrial Internet Consortium.
February: Securing IIoT Endpoints
March: Securing the Smart Factory
Presented by IoT expert, Bill Roberts, this webinar explores how the Industrial Internet of Things (IIoT) is having a dramatic impact on how manufacturers and service providers operate. From the factory floor to a distributed energy generation facility to anywhere a critical piece of equipment operates, machine data holds enormous potential to drive high levels of operational efficiency and unlock new service innovations. This blending of operational technologies (OT) with Information Technology (IT) has created challenges with the data, the analytics lifecycle and a deep thinking into the roles of personnel. A robust IoT analytics lifecycle can play a critical role in helping organizations separate the relevant signals from the noise in IIoT data, gain real time critical insights, and drive appropriate, timely action to realize the promised value of IIoT. This session will explore these topics and offer insights on pursuing a successful industrial IoT strategy that leverages a robust analytics lifecycle.Read more >
Heavy industry was first to arrive at the IoT party, quickly recognizing the potential to augment existing processes and establish new protocols. As a result, organizations that embraced the industrial internet of things (IIoT) have been at the forefront of fine-tuning applications and establishing best practices. And while many of those practices have turned out to be impactful, it’s becoming increasingly apparent that the opportunity is much bigger with predictive analytics.
We’ve entered a perfect storm where the falling costs of capturing, processing and analyzing data coincide with the explosion of data streams generated by millions of pieces of connected equipment, devices and systems. And the same technology that created the perfect storm has empowered customers with near-instant data and instantaneous engagement with each other and also with your organization. So the opportunities extend beyond tactical process improvements and have become both strategic and enterprise-wide.
Recognizing and capitalizing on the opportunities requires an evolution of skills and mindset, made possible with key technology relationships. The Industrial IoT collaboration between SAS and Intel enables organizations to capture, process and analyze data. The end result is the ability to evolve their strategic advantage and realize the full value of their IIoT data.
Tune in to this webinar to gain insights and best practices for evolving the industrial IoT into strategic advantage for your organization.
Segmentation is a crucial element to modern network design and accepted widely as a recommended best practice. It is believed that many of the current successful cyber-attacks against ICS/SCADA infrastructures could have been prevented or contained if proper segmentation had been in place.
Unfortunately, many existing ICS/SCADA systems predate modern best practices. Owner-operators are challenged to face cybersecurity risks with outdated defense mechanisms. Implemented during an era where air gaps existed, the use of commercially available off-the-shelf products (COTS) have connected the serial based on brownfield systems into the industrial Internet of things (IIoT). In doing so exposing the ICS/SCADA to the same threats and perils as its enterprise counterpart. Come join us as we discuss ways and techniques that Palo Alto Networks NGFW can be used to achieve ideal network segmentation.
Why You Must Attend:
• Understand the impact of key IIoT-based technologies that are poised to change MES platforms
• Realize the value addition through dynamic modularization and smart functionalities in MES platforms
• Recognize the opportunities bought about by the transformation of traditional MES into manufacturing intelligence platforms
• Learn key industrial verticals and analyze the implications that are set to occur due to the advent of advanced MES solutions
• Capture the benefits of scaling and orchestrating MES solutions across global manufacturing facilities
• Participate in an interactive Q&A session with Frost & Sullivan and Forcam
This webinar demonstrates the practical realization of standards-based executable modeling in UML, showing its importance for moving forward in a number of, perhaps, unexpected areas, including agile development methods, multi-core programming and model-based system engineering. Today’s Executable UML is based on the OMG’s Foundational UML (fUML) standard, for executable object-oriented and activity modeling, and the Action Language for fUML (Alf) standard, which defines a corresponding textual representation. But this is only the beginning. Additional Executable UML standards are being built on this foundation, including recent ones for composite structure and state machines. Come learn about the growing suite of OMG Executable UML specifications, watch these standards in action and discover the promise they hold for the future.Read more >
The Object Management Group® (OMG®) Space Domain Task Force completed a second very successful quarterly meeting in Coronado, CA last month during which the Space DTF approved work on several standards initiatives in coordination with NASA, the United States Air Force Space and Missile Center (SMC) Enterprise Ground Services (EGS), and the International Council on Systems on Systems Engineering (INCOSE).
At the same meeting, the OMG Space DTF issued an RFI entitled: Vocabularies, Glossaries, or Ontologies for the Spacecraft Ground Systems Domain Request For Information. The OMG Space DTF is seeking to normalize the terminology used within the spacecraft ground systems domain. We are seeking information on existing or emerging dictionaries, glossaries, or ontologies in this domain. Additionally, the Space DTF is interested in hearing from organizations that might be interested in this topic. The Space DTF will use these responses to either adopt an existing reference or recommend the development of a new consolidated reference
Unified Architecture Framework® (UAF®) is the newest standard presented by domain experts in Object Management Group® (OMG®). UAF is a new version of the UPDM2 standard, and it addresses the needs of military frameworks (such as DoDAF and MODAF) as well as industry.
The Unified Architecture Framework offers a structured approach for managing the complexity of systems of systems engineering within the organization in different levels of abstraction. It also provides an infrastructure to ensure complete and correct specification of systems integration using various techniques such as engineering analysis, traceability, and metrics.
The webinar will demonstrate the complete workflow of systems of systems engineering using the UAF Framework. The workflow includes the activities of defining capability requirements, specifying operational scenarios, providing solutions for operational scenarios, and managing project portfolios required to implement the selected solution.
Business architecture has emerged as the essential vehicle to enable and enrich business transformation. Whether the focus is on shifting to a customer-centered business model, realigning business units to achieve new innovative strategies, or digitizing the business ecosystem, business architecture remains at the foundation of the transformative paradigm. This session will outline the role of business architecture in business transformation and walk through an approach that leverages stakeholder value-driven, capability-centered perspectives to envision and transform the business ecosystem as a whole.Read more >
The importance of facing, understanding, predicting and even mitigating uncertainty has been well acknowledged and studied in various fields such as philosophy, physics and finance. In terms of software and system engineering, due to the increasing complex of large-scale systems themselves, and the dynamic and unpredictable deployment and operation environments of such systems, increasing attentions have been given to address challenges of explicitly specifying and modeling uncertainty.
Uncertainty Modeling (UM) aims to promote and enable explicit specifications of uncertainty and uncertainty related concepts, at various contexts (e.g., developing large-scale Cyber-Physical Systems and Internet of Things, for different purposes (e.g., enabling uncertainty-wise requirements specifications, modeling, verification and validation, e.g., facilitating the definition of uncertainty-wise testing strategies), and at different phases of the development of such complex and uncertainty-inherent systems (e.g., requirements, architecture, design, testing and operation).
In the context of OMG, we see a diverse set of uncertainty modeling applications, such as 1) integrating with UML use cases, SysML Requirements Diagram, to enable requirements V&V, 2) capturing uncertainty as part of SysML or UML models to facilitate design and/or testing, 3) integrating with BPMN and other OMG standards to facilitate different kinds of analyses and generations.
OMG’s Uncertainty Modeling Request for Information (RFI) is currently open for responses. The RFI aims to solicit ideas, discussions, comments, recommendations, user needs and experiences about uncertainty modeling. Collected responses will be carefully analyzed and will be used to identify requirements, based on an RFP for an UM will be developed. Instructions for responding to this RFI are specified in the OMG Uncertainty Modeling Request for Information document (ad/16-09-02 (Uncertainty RFI)).
We invite you to join the conversation.
The Internet of Things (IoT) is a complex system of systems (SoS). IoT systems include the electric smart grid, smart manufacturing, autonomous vehicles, smart consumer devices, etc. Technology advancements will continue to evolve to facilitate connection to larger and larger IoT networks and more complex devices. This will be the catalyst that will drive entire infrastructure changes to federal, state, city, and local governments, product development companies, utility and service providers, and even to consumers and their homes. The infrastructure and management will need to be established prior to, or in conjunction with, the smart systems that support them. The future of IoT success is dependent on the application of solid Systems Engineering and Model Based Systems Engineering (MBSE) principles. MBSE enables engineers to manage the definition of interfaces, allocation of behaviors, evolution of technology, and system security: concepts essential to the successful development of IoT applications. Absent of any industry standards, IoT systems would explode in chaos rather than evolve in a controlled manner.
The Unified Architecture Framework (UAF) provides a means to develop and understand complex system of systems architectures and how they evolve. The Systems Modeling Language (SysML) supports systems engineers to define systems requirements, structure, and behavior throughout the system lifecycle. UAF and SysML combined provide a means of defining complex systems of systems as well as detailed devices and how they work together. IoT success will only be realized through application of up to date, standardized systems engineering languages, processes, and tools.
The Object Management Group (OMG) recently led an effort to collect input from a varied cross-section of organizations regarding the challenges and potential solutions to data residency – which we defined as the issues that result from the storage and movement of data across geographies and jurisdictions. In this webinar, we will present our early findings from this study (which will be published as an OMG discussion paper in Q4 2016). These findings cover the types of data that are impacted, the regulations that may result in unintended access to the data, the resulting risks, the way data residency is governed inside organizations, and the technical solutions that can be applied in the future (assuming that suitable standards are developed). We will conclude by indicating to the participants how they can get involved in aiding and steering the pursuit of the OMG’s mission in this domain.Read more >
Cyber threats facing a nation's critical infrastructure, mission-critical systems, or any Internet of Things (IoT) system, demand a cyber infrastructure that matches their combined enormity and complexity. Risk management solutions must be capable of understanding intricate attack patterns and assessing complex vulnerabilities to give stakeholders confidence in their system's ability to withstand malicious attacks.
Currently -- understanding, assessing and managing the risks of complex cyber and/or cyber-physical systems is a very costly and challenging task that requires the expertise of well-trained and seasoned security professionals, a scarce commodity. The traditional approach to risk assessment relies primarily on informal inputs such as documentation and personnel interviews, making this approach subjective, non-comprehensive, non-repeatable, and prone to inaccuracies about the true nature of risks and vulnerabilities involved.
OMG's C4I Task Force Request For Information (RFI) is currently open for response “Cyber Security Protection for Front Line Real-Time Systems RFI” seeking input on a) How to develop Standards to move Tool/Integration community forward to reduce costs and focus on higher quality system development b) What area of standards can be addressed to reduce cost in developing Cyber Security solutions and designs for systems and c) What can be done to integrate current standards that will allow standards based tools to better support design, development and life-cycle support to reduce costs and control costs.
We welcome you to join the conversation.
Presented by one of the foremost experts in BPM standards, this session will concretely demonstrate usage of the three leading business modeling standards produced by the Object Management Group (OMG). This session will explore the positioning and core behavioral differences between the Business Process Model and Notation (BPMN), the Case Management Model and Notation (CMMN) and the Decision Model Notation (DMN). The specific roles and usage of these dominant business modeling notations will be explained and demonstrated using a worked out example integrating BPMN, CMMN and DMN models.
What exactly are BPMN, CMMN and DMN?
When is one of these standards best suited for the purpose?
How to use BPMN, CMMN and DMN together?
What are the best practices for these standards?
Presented by one of the foremost experts in BPM standards, this session will introduce the three leading business modeling standards produced by the Object Management Group (OMG) in recent years. This fast pace session will introduce the core concepts, differentiation and business value of the Business Process Model and Notation (BPMN), the Case Management Model and Notation (CMMN) and the Decision Model Notation (DMN). Explained and demonstrated will be both general methods and best practices, as well as the specific roles and usage of these dominant business modeling notations in the context of business improvement, innovation and transformation.
· What exactly are BPMN, CMMN and DMN?
· Why even bother with these standards?
· When one of these standards is best suited for the purpose?
· What are the best practices for these standards?