2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) 2017
DOI: 10.1109/nfv-sdn.2017.8169840
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A low-delay SDN-based countermeasure to eavesdropping attacks in industrial control systems

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Cited by 12 publications
(5 citation statements)
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“…Germano da Silva et al [27] propose a flow routes randomization technique to prevent all traffic from going down the same path by dispersing traffic over multiple routes to defend against unauthorized traffic interceptions. Since the transition to alternative routes is not performed adaptively, authors in [28] propose to use the hard-timeout field of the OpenFlow protocol to define several flow rules at once and minimize the latency introduced in the SDNbased industrial network.…”
Section: Mtd In Industrial Control Systemsmentioning
confidence: 99%
“…Germano da Silva et al [27] propose a flow routes randomization technique to prevent all traffic from going down the same path by dispersing traffic over multiple routes to defend against unauthorized traffic interceptions. Since the transition to alternative routes is not performed adaptively, authors in [28] propose to use the hard-timeout field of the OpenFlow protocol to define several flow rules at once and minimize the latency introduced in the SDNbased industrial network.…”
Section: Mtd In Industrial Control Systemsmentioning
confidence: 99%
“…SDN may be applied in various areas: Internet of Things [33] and Wireless Sensor Networks [34][35][36], industrial systems [37], or on the factory floor [38]. They can be implemented to improve the management and maintenance of networks [39], as well as increasing the security by use of Intrusion Detection Systems [26], protecting against eavesdropping attacks [40,41], creating resilient networks [42], and enhancing network reliability [43]; related papers also concern communication determinism [27]. In further reference to SDN, the Future Industrial Network Architecture (FIND) defines a guidance on the industryrelated requirements in communication systems development [28].…”
Section: Software Defined Networkmentioning
confidence: 99%
“…Concerning information exchange among end user devices, the MITM attack is specifically pertinent. Furthermore, any purposed adjustment, insertion, removal of information by unauthorized or authorized parties, which compromises the information, is regarded [142] Smart energy management Propose an efficient approach for privacy and trust management across a massive number of M2M devices by leveraging SDN infrastructures Molina and Jacob [21] CPS A survey paper Kim et al [140] Smart grids Emergence from ICT sub-system to SDN-enabled smart grid architectures Genge et al [143] CPS Propose an experimental assessment of network SDN-based design approaches for protecting smart CPS Antonioli et al [128] CPS Propose a toolkit for the security assessment of SDN-based CPS networks Ndonda and Sadre [180] Industrial networks Propose an SDN-based countermeasure to eavesdropping in industrial networks Tarai and Shailendra [181] Controller placement Propose a secure controller placement mechanism while dynamically optimize flow setup time and fault tolerance based on Master-Equal-Slave (M-E-S) controllers combination Rametta et al [182] Surveillance systems Propose a resilient SDN-enabled surveillance system for smart city Boussard et al [183] Smart devices interconnection Propose a secure software solution for interconnecting devices in smart environments according to user services request Bi et al [184] Big data transfer Propose a time-Constrained big data transfer for SDN-enabled smart city through dynamic flow control and multi-path transfer scheduling Abhishek et al [185] Smart homes Propose an architectural vision of a software defined home alert management system for smart cities He et al [186] Network architecture Propose SDN-based mobile edge computing and caching for smart cities through a big data deep reinforcement learning approach Arbiza et al [187] Smart service delivery Propose a resilient SDN-based architecture for services delivery in smart environments as information tempering [18]. Information tempering can affect authenticity and confidentiality.…”
Section: B Conventional Threats In Sdn-supported Smart City Communicmentioning
confidence: 99%