Wei Yan
ABSTRACT
There is a pressing need to evaluate both cyber- and physical systems together and holistically for a rapidly growing number of applications using simulation and emulation in a realistic environment, which brings realistic attacks against the defensive capabilities of CPS (Cyber-Physical System). Without the support from appropriate tools and run-time environments, this assessment process can be extremely time-consuming and error-prone, if possible at all. In this paper, we present iSEE - integrated Simulation and Emulation platform for security Experimentation, as a "software supporting research infrastructure used for cyber security research and development". iSEE allows for the concurrent modeling, experimentation and evaluation of CPS that range from a fully simulated to a fully implemented system. iSEE has two major components: 1) modeling environment for system specification and experiment configuration and 2) run-time environment that supports experiment execution. iSEE employs the Model-Integrated-Computing (MIC) approach, which explicitly uses models throughout the experiment environments and integrates them at the domain-specific model level. The run-time environment of iSEE integrates Matlab and the DETERlab testbed to support realistic assessment of CPS on real distributed networking environments in its early design phase, before a fully implemented system is available. At run time, iSEE provides time synchronization and data communication and coordinates the execution of the security experiment across simulation and emulation platforms.
- Deter seer. http://seer.deterlab.net/.Google Scholar
- Deterlab. http://isi.deterlab.net/.Google Scholar
- Matlab. http://www.mathworks.com.Google Scholar
- Modelica and modelica association. http://www.modelica.org.Google Scholar
- The network simulator ns-2. http://isi.edu.nsnam/ns.Google Scholar
- Omnet++. http://www.omnetpp.org.Google Scholar
- The ptolemy project. http://ptolemy.eecs.berkeley.edu.Google Scholar
- A. T. Al-Hammouri, M. S. Branicky, and V. Liberatore. Co-simulation tools for networked control systems. In Proceedings of the 11th international workshop on Hybrid Systems: Computation and Control, HSCC '08, pages 16--29, Berlin, Heidelberg, 2008. Springer-Verlag. Google ScholarDigital Library
- A. Cervin, M. Ohlin, and D. Henriksson. Simulation of networked control systems using truetime. In Proceedings of the 3rd International Workshop on Networked Control Systems: Tolerant to Faults, Nancy, France, 2007.Google Scholar
- J. S. Dahmann, R. M. Fujimoto, and R. M. Weatherly. The department of defense high level architecture. In Proceedings of the 29th conference on Winter simulation, WSC '97, pages 142--149, Washington, DC, USA, 1997. IEEE Computer Society. Google ScholarDigital Library
- E. Eyisi, J. Bai, D. Riley, J. Weng, W. Yan, Y. Xue, X. Koutsoukos, and J. Sztipanovits. Ncswt: An integrated modeling and simulation tool for networked control systems. Technical report, Institute for Software and Integrated Systems, Vanderbilt University, 2011.Google Scholar
- M. Hasan, H. Yu, A. Carrington, and T. Yang. Co-simulation of wireless networked control systems over mobile ad hoc network using simulink and opnet. Communications, IET, 3(8):1297--1310, august 2009.Google ScholarCross Ref
- U. Hatnik and S. Altmann. Using modelsim, matlab/simulink and ns for simulation of distributed systems. In Parallel Computing in Electrical Engineering, 2004. PARELEC 2004. International Conference on, pages 114--119, sept. 2004. Google ScholarDigital Library
- O. Heimlich, R. Sailer, and L. Budzisz. Nmlab: A co-simulation framework for matlab and ns-2. In Proceedings of the 2010 Second International Conference on Advances in System Simulation, SIMUL '10, pages 152--157, Washington, DC, USA, 2010. IEEE Computer Society. Google ScholarDigital Library
- G. Hemingway, H. Neema, H. Nine, J. Sztipanovits, and G. Karsai. Rapid synthesis of high-level architecture-based heterogeneous simulation: a model-based integration approach. In Simulation, volume 88, March 2012. Google ScholarDigital Library
- G. Karsai, J. Sztipanovits, A. Ledeczi, and T. Bapty. Model-integrated development of embedded software. Proceedings of the IEEE, 91(1):145--164, jan 2003.Google ScholarCross Ref
- T. Kohtamaki, M. Pohjola, J. Brand, and L. Eriksson. Piccsim toolchain - design, simulation and automatic implementation of wireless networked control systems. In Networking, Sensing and Control, 2009. ICNSC '09. International Conference on, pages 49--54, march 2009.Google Scholar
Index Terms
- Integrated simulation and emulation platform for cyber-physical system security experimentation
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