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Network Intrusion Detection datasets

archive 2025-07-28

14 datasets carry the task tag "Network Intrusion Detection" (the task itself: Network Intrusion Detection), ordered by the archive's paper count. Page 1 of 1: 14 shown of 14. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Network Intrusion Detection datasets 1–14 of 14

UNSW-NB15 (UNSQ-NB15)
UNSW-NB15 is a network intrusion dataset.
156 papers · 3 benchmarks
CICIDS2017 (Intrusion Detection Evaluation Dataset (CIC-IDS2017))
Intrusion Detection Evaluation Dataset (CIC-IDS2017) Intrusion Detection Systems (IDSs) and Intrusion Prevention Systems (IPSs) are the most important defense tools against the sophisticated and ever-growing network attacks.
18 papers · 2 benchmarks
The TONIoT datasets are new generations of Internet of Things (IoT) and Industrial IoT (IIoT) datasets for evaluating the fidelity and efficiency of different cybersecurity applications based on Artificial Intelligence (AI).
8 papers · 2 benchmarks
EDGE-IIOTSET (A NEW COMPREHENSIVE REALISTIC CYBER SECURITY DATASET OF IOT AND IIOT APPLICATIONS: CENTRALIZED AND FEDERATED LEARNING)
ABSTRACT In this project, we propose a new comprehensive realistic cyber security dataset of IoT and IIoT applications, called Edge-IIoTset, which can be used by machine learning-based intrusion detection systems in two different modes,…
4 papers · 0 benchmarks
Kitsune Network Attack Dataset This is a collection of nine network attack datasets captured from a either an IP-based commercial surveillance system or a network full of IoT devices.
4 papers · 0 benchmarks
SIDD-Image (Segmented Intrusion Detection Dataset)
This is the first image-based network intrusion detection dataset.
3 papers · 1 benchmark
CIC IoT Dataset 2022 This project aims to generate a state-of-the-art dataset for profiling, behavioural analysis, and vulnerability testing of different IoT devices with different protocols such as IEEE 802.11, Zigbee-based and Z-Wave.
2 papers · 0 benchmarks
IoT Benign and Attack Traces (IoT Benign and Attack Traces - Data Collected for ACM SOSR 2019)
IOT BENIGN AND ATTACK TRACES Data Collected for ACM SOSR 2019 Attack & Benign Data Instructions Flow data contains flow counters of MUD flow, each instance in the file are collected every one minute.
2 papers · 0 benchmarks
ABSTRACT Recently, the technology of the fourth revolution has given the characteristics of things constantly expanding, and everything, including people, things, people, and the environment, is connected based on the Internet.
1 paper · 0 benchmarks
UQ NIDS Datasets (Machine Learning-Based NIDS Datasets)
A comprehensive dataset, merging all the aforementioned datasets.
1 paper · 0 benchmarks
UQ NIDS Datasets (FlowMeter Format) (Machine Learning-Based NIDS Datasets)
CICFlowMeter format of the datasets are made up of 83 features.
1 paper · 0 benchmarks
UQ NetFlow NIDS v1 (Machine Learning-Based NIDS Datasets)
A comprehensive dataset, merging all the aforementioned datasets.
1 paper · 0 benchmarks
WEB-IDS23 is a network intrusion detection dataset that includes over 12 million flows, categorizing 20 attack types across FTP, HTTP/S, SMTP, SSH, and network scanning activities.
1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.