BIDS: Bio-Inspired, Collaborative Intrusion Detection for Software Defined Networks

Zhou, Q. and Pezaros, D. P. (2019) BIDS: Bio-Inspired, Collaborative Intrusion Detection for Software Defined Networks. In: 53rd IEEE International Conference on Communications (IEEE ICC 2019), Shanghai, China, 20-24 May 2019, (Accepted for Publication)

Zhou, Q. and Pezaros, D. P. (2019) BIDS: Bio-Inspired, Collaborative Intrusion Detection for Software Defined Networks. In: 53rd IEEE International Conference on Communications (IEEE ICC 2019), Shanghai, China, 20-24 May 2019, (Accepted for Publication)

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Abstract

No abstract available.

Item Type:Conference Proceedings
Additional Information:This research has been supported in part by the UK Engineering and Physical Sciences Research Council (EPSRC) projects EP/N033957/1, and EP/P004024/1; by the European Cooperation in Science and Technology (COST) Action CA 15127: RECODIS – Resilient communication and services; by the EU H2020 GNFUV Project RAWFIE-OC2-EXPSCI (Grant No. 645220), under the EC FIRE+ initiative; and by the Huawei Innovation Research Program (Grant No. 300952).
Status:Accepted for Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Zhou, Miss Qianru and Pezaros, Dr Dimitrios
Authors: Zhou, Q., and Pezaros, D. P.
College/School:College of Science and Engineering > School of Computing Science
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
709131Network Measurement as a Service (MaaS)Dimitrios PezarosEngineering and Physical Sciences Research Council (EPSRC)EP/N033957/1COM - COMPUTING SCIENCE
722161FRuIT: The Federated RaspberryPi Micro-Infrastructure TestbedJeremy SingerEngineering and Physical Sciences Research Council (EPSRC)EP/P004024/1COM - COMPUTING SCIENCE