Topic
Live, virtual, and constructive
About: Live, virtual, and constructive is a research topic. Over the lifetime, 31 publications have been published within this topic receiving 204 citations. The topic is also known as: LVC.
Papers
1 May 2010
TL;DR: Sandia National Laboratories has developed a cyber LVC testbed that combines modeling and simulation capabilities with virtual machines and real devices to represent, in varying fidelity, secure networked information system architectures and devices.
Abstract: Cyber security analysis tools are necessary to evaluate the security, reliability, and resilience of networked information systems against cyber attack. It is common practice in modern cyber security analysis to separately utilize real systems computers, routers, switches, firewalls, computer emulations (e.g., virtual machines) and simulation models to analyze the interplay between cyber threats and safeguards. In contrast, Sandia National Laboratories has developed new methods to combine these evaluation platforms into a cyber Live, Virtual, and Constructive (LVC) testbed. The combination of real, emulated, and simulated components enables the analysis of security features and components of a networked information system. When performing cyber security analysis on a target system, it is critical to represent realistically the subject security components in high fidelity. In some experiments, the security component may be the actual hardware and software with all the surrounding components represented in simulation or with surrogate devices. Sandia National Laboratories has developed a cyber LVC testbed that combines modeling and simulation capabilities with virtual machines and real devices to represent, in varying fidelity, secure networked information system architectures and devices. Using this capability, secure networked information system architectures can be represented in our testbed on a single computing platform. This provides an “experiment-in-a-box” capability. The result is rapidly produced, large scale, relatively low-cost, multi-fidelity representations of networked information systems. These representations enable analysts to quickly investigate cyber threats and test protection approaches and configurations.
25 citations
TL;DR: A systematic review of the multi-Resolution Modeling (MRM) to address two questions: What research has been done towards the MRM for integrating LVC system?
Abstract: Multi-Resolution Modeling (MRM) is a modeling technology that creates a model that expresses the same phenomenon at more than two different resolutions. Since the advent of distributed simulation systems, the MRM study began in the military field, where the modeling and simulation (M&S) was most actively developed and was recognized as an essential area in the integrated system of live, virtual and constructive (LVC) simulations. Models of the various resolutions had already been built based on the characteristics and training purposes of each weapon system, and the interoperability of these models was a primary task in the M&S community. In this study, we report the results from a systematic review of the MRM to address two questions: (1) What research has been done towards the MRM for integrating LVC system? (2) What are the research and technology challenges for the MRM implementation in the future? In total, 22 papers have been identified and studied in this review by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The structures of the significant 20 MRM implementation experiments in those papers are analyzed based on the relationship between the MRM and integrating the LVC system being implemented in the military. We explored the various issues related to the MRM. Then, we discussed the direction in which the MRM should move forward, comparing civilian modeling techniques with those being used in the military.
12 citations
5 Dec 2010
TL;DR: The MATREX program systems engineering process, infrastructure and path forward is described, which allows generative programming techniques to assist accurate, flexible and rapid architecture development.
Abstract: Designing a distributed simulation environment across multiple domains that typically have disparate middleware transport protocols, data exchange formats and applications increases the difficulty of capturing and linking system design decisions to the resultant implementation. Systems engineering efforts for distributed simulation environments are typically based on the middleware transport used, the applications available and the constraints placed on the technical team including network, computer and personnel limitations. To facilitate community re-use, systems engineering should focus on integrated operational function decomposition. This links data elements produced within the simulation to the functional capabilities required by the user. The system design should be captured at a functional level and subsequently linked to the technical design. Doing this within a data-driven systems engineering infrastructure allows generative programming techniques to assist accurate, flexible and rapid architecture development. This paper describes the MATREX program systems engineering process, infrastructure and path forward.
9 citations
1 Jan 2015
TL;DR: This chapter provides a brief introduction to M&S, and defines concepts such as model, simulation, and abstraction, and includes a conceptual definition of simulation from an implementation perspective.
Abstract: Simulation is a multi-disciplinary approach to solving problems that includes mathematics, engineering, physical science, social science, computing, medical research, business, economics, and so on. Simulation is not new; it dates back to the beginnings of civilization where it was most commonly used in warfare. With the development of computers, simulation moved from role-playing, where people or toy soldiers represented the systems of interest, to computer-based simulation, where software is developed to encode algorithms that represent the systems of interest. Once referred to simply as simulation, the discipline is more often called modeling and simulation (M&S), emphasizing the importance of first modeling the system of interest before developing a computational representation. This chapter provides a brief introduction to M&S, and defines concepts such as model, simulation, and abstraction. It includes a discussion of the relationship between the real world, the model and the simulation, and includes a conceptual definition of simulation from an implementation perspective. The M&S pyramid, which is a construct for describing levels of resolution, will be introduced as well as the term Live Virtual and Constructive simulations, which is a way of describing how humans interact with simulations. Finally a brief primer on how M&S is used in systems engineering will be presented.
9 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2021 | 1 |
| 2020 | 1 |
| 2017 | 3 |
| 2016 | 1 |
| 2015 | 3 |
| 2014 | 2 |