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Leveraging blockchain technology to assure security of SDN

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dc.contributor.author AMEEN, Ali
dc.date.accessioned 2019-11-02T12:11:42Z
dc.date.available 2019-11-02T12:11:42Z
dc.date.issued 2019
dc.identifier.citation AMEEN, Ali. Leveraging blockchain technology to assure security of SDN. In: Electronics, Communications and Computing: extended abstracts of the 10th Intern. Conf.: the 55th anniversary of Technical University of Moldova, Chişinău, October 23-26, 2019. Chişinău, 2019, p. 52. ISBN 978-9975-108-84-3. en_US
dc.identifier.isbn 978-9975-108-84-3
dc.identifier.uri http://repository.utm.md/handle/5014/5909
dc.description Abstract en_US
dc.description.abstract Software-defined networking is a new way of managing how computer networks behave, it gives more ability to manage the network nodes, facilitates policies enforcement, provides more speed in applying configurations on network nodes, it has one point of controlling which is laying in the control plane represented by the controller which is the only brain for the network which provides flexibility and single point of administration but, in the same time this situation from a security point of view this could be a single point of failure so, as restriction of the control in the network by the control plane is a good security feature, it could also open new security challenges and here comes our research secure software-defined networks in order to assure the security of computer networks in general. en_US
dc.language.iso en en_US
dc.publisher Tehnica UTM en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject software-defined networks en_US
dc.subject blockchain en_US
dc.subject cryptocurrency en_US
dc.title Leveraging blockchain technology to assure security of SDN en_US
dc.type Article en_US


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  • 2019
    Extended Abstracts of the: The 10th IC|ECCO; October 23-26, 2019

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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