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vIoT-DDoS-2025: A hybrid testbed dataset for DDoS detection in virtualised IoT networks

vIoT-DDoS-2025: A hybrid testbed dataset for DDoS detection in virtualised IoT networks
vIoT-DDoS-2025: A hybrid testbed dataset for DDoS detection in virtualised IoT networks
This dataset contains network traffic data collected from a hybrid physical-virtual IoT testbed for DDoS attack detection research. The dataset includes 168 hours of continuous baseline traffic characterisation (15,247,832 packets) and 20 experimental attack scenarios covering multiple DDoS attack types (SYN flood, UDP flood, ICMP flood, HTTP flood, Slowloris, DNS amplification). The testbed combines physical IoT devices (Raspberry Pi) with virtualised components in Software-Defined Networking (SDN) and Network Function Virtualisation (NFV) environments, addressing the specific security challenges of virtualised IoT infrastructure.
University of Southampton
Asad, Belal
18f6da90-4e9a-4d19-88cf-7d4fc999d9ec
Asad, Belal
18f6da90-4e9a-4d19-88cf-7d4fc999d9ec

Asad, Belal (2026) vIoT-DDoS-2025: A hybrid testbed dataset for DDoS detection in virtualised IoT networks. University of Southampton doi:10.5258/SOTON/D3805 [Dataset]

Record type: Dataset

Abstract

This dataset contains network traffic data collected from a hybrid physical-virtual IoT testbed for DDoS attack detection research. The dataset includes 168 hours of continuous baseline traffic characterisation (15,247,832 packets) and 20 experimental attack scenarios covering multiple DDoS attack types (SYN flood, UDP flood, ICMP flood, HTTP flood, Slowloris, DNS amplification). The testbed combines physical IoT devices (Raspberry Pi) with virtualised components in Software-Defined Networking (SDN) and Network Function Virtualisation (NFV) environments, addressing the specific security challenges of virtualised IoT infrastructure.

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More information

Published date: 15 April 2026
Learn more about the School of Electronics and Computer Science

Identifiers

Local EPrints ID: 510650
URI: http://eprints.soton.ac.uk/id/eprint/510650
DOI: doi:10.5258/SOTON/D3805
PURE UUID: 9fa979b8-9575-4d09-9a76-ac7997ee3148
ORCID for Belal Asad: ORCID iD orcid.org/0000-0001-6310-0170

Catalogue record

Date deposited: 15 Apr 2026 16:42
Last modified: 16 Apr 2026 02:02

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Contributors

Creator: Belal Asad ORCID iD

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