URI | http://purl.tuc.gr/dl/dias/3D08ECFD-C486-4965-A2B5-D40923949D80 | - |
Identifier | https://doi.org/10.1109/DCOSS.2017.15 | - |
Identifier | https://ieeexplore.ieee.org/document/8271948 | - |
Language | en | - |
Extent | 8 pages | en |
Title | An open-source extendable, highly-accurate and security aware CPS simulator | en |
Creator | Brokalakis Andreas | en |
Creator | Μπροκαλακης Ανδρεας | el |
Creator | Tampouratzis Nikolaos | en |
Creator | Ταμπουρατζης Νικολαος | el |
Creator | Nikitakis Antonios | en |
Creator | Νικητακης Αντωνιος | el |
Creator | Andrianakis Stamatios | en |
Creator | Ανδριανακης Σταματιος | el |
Creator | Papaefstathiou Ioannis | en |
Creator | Παπαευσταθιου Ιωαννης | el |
Creator | Dollas Apostolos | en |
Creator | Δολλας Αποστολος | el |
Publisher | Institute of Electrical and Electronics Engineers | en |
Content Summary | In this paper, we present an open-source Cyber Physical Systems (CPS) simulation framework that aims to address the limitations of currently available tools. Our solution models the computing devices of the processing nodes and the network that comprise the CPS system and thus provides cycle accurate results, realistic communications and power/energy consumption estimates based on the actual dynamic usage scenarios. The simulator provides the necessary hooks to security testing software and can be extended through an IEEE standardized interface to include additional tools, such as simulators of physical models. | en |
Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
Type of Item | Conference Full Paper | en |
License | http://creativecommons.org/licenses/by/4.0/ | en |
Date of Item | 2019-10-01 | - |
Date of Publication | 2018 | - |
Subject | CPS | en |
Subject | Cycle accurate | en |
Subject | Distributed | en |
Subject | Simulation | en |
Bibliographic Citation | A. Brokalakis, N. Tampouratzis, A. Nikitakis, S. Andrianakis, I. Papaefstathiou and A. Dollas, "An open-source extendable, highly-accurate and security aware CPS simulator," in 13th International Conference on Distributed Computing in Sensor Systems, 2018., pp. 81-88. doi: 10.1109/DCOSS.2017.15 | en |