Proceedings of the 2nd ACM International Workshop on Cyber-Physical System Security 2016
DOI: 10.1145/2899015.2899020
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A Simulation Study on Smart Grid Resilience under Software-Defined Networking Controller Failures

Abstract: Riding on the success of SDN for enterprise and data center networks, recently researchers have shown much interest in applying SDN for critical infrastructures. A key concern, however, is the vulnerability of the SDN controller as a single point of failure. In this paper, we develop a cyberphysical simulation platform that interconnects Mininet (an SDN emulator), hardware SDN switches, and PowerWorld (a high-fidelity, industry-strength power grid simulator). We report initial experiments on how a number of re… Show more

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Cited by 16 publications
(4 citation statements)
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“…Content may change prior to final publication. [24] (2018), [99], [101], [103], [104] (2017), [100], [102], [105], [106] (2016), [73], [98]…”
Section: ) Link Failurementioning
confidence: 99%
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“…Content may change prior to final publication. [24] (2018), [99], [101], [103], [104] (2017), [100], [102], [105], [106] (2016), [73], [98]…”
Section: ) Link Failurementioning
confidence: 99%
“…The dropped packets may have very critical impact on the SG as they may contain control traffic or commands given by the SDN controller. Thus, the time critical communication in SG may suffer [105].…”
Section: ) Link Failurementioning
confidence: 99%
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“…A secure SDN based framework has been proposed for content centric application has been devised by Ghosh et al In [38], secure multi-path routing protocol has been designed which significantly improves the network performance.This work is pretty much feasible to incorporate for futuristic smart cities. Ghosh et al, proposed a SDN based secure framework for smart energy delivery system [39]or smart cities, which addressed a number of fault injections and controller failure scenarios as well. In [40], Alnumay et al, designed and developed a trust-based system for securing IoT applications using a predictive model of ARMA/GARCH (1,1), whcih significantly improve network functionalities in smart city scenarios.…”
Section: Related Workmentioning
confidence: 99%