SDN
This dataset includes a subset of the InSDN Dataset to examine the effects of various flow-to-image conversion techniques on the performance of intrusion detection systems (IDS). The dataset contains five types of attacks: Denial of Service (DoS), Distributed Denial of Service (DDoS), Probe, Normal, and Brute Force Attack (BFA). Each instance represents a network flow, which is converted into an image using: Method 1: applies the Image Generator for Tabular Data (IGTD) framework using Euclidean distance, transforming tabular data into grayscale images.
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Abstract—Network slicing (NwS) is one of the main technologies
in the h-generation of mobile communication and
beyond (5G+). One of the important challenges in the NwS
is information uncertainty which mainly involves demand
and channel state information (CSI). Demand uncertainty is
divided into three types: number of users requests, amount
of bandwidth, and requested virtual network functions workloads.
Moreover, the CSI uncertainty is modeled by three
methods: worst-case, probabilistic, and hybrid. In this paper,
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The demo data set consists the propagation path distances of AT & T North America Netowork Topology. The geographical node positions (latitude and longitude) along with the adjacency matrix has been found out from International Topology Zoo and the data set has been formed using the available data. This set has been used in Joint localization prolem of Controller and Hypervisor instances in vSDN enebled 5G Network.
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This dataset accompanies a paper that discusses the advantages of a 3GPP-compliant service-based architecture platform that demonstrates the concept of cloud-native service orchestration and routing for a media vertical sector application. Cloud-native service orchestration and routing is a complete end-to-end approach that enables virtualisation and management of multiple layers in the OSI model, which provides considerable flexibility and control to achieve delivery of QoS to users in the face of varying demand, at reasonable cost.
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Normal
0
false
false
false
EN-US
X-NONE
AR-SA
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This paper proposes the Hybrid Domain Discovery Protocol (HDDP), a new lightweight discovery protocol that outperforms the existing OpenFlow Discovery Protocol (OFDP). HDDP allows the discovery of hybrid network topologies composed of both SDN and non-SDN devices
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