---
title: "IoT intrusion data (Bot-IoT, TON_IoT, CICIoT2023)"
description: "From Nov 2023 to Oct 2026, 87 archived papers mentioned IoT intrusion data (Bot-IoT, TON_IoT, CICIoT2023) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Apr 2025 (9)."
url: https://scholar4ai.com/datasets/iot-intrusion-data-bot-iot-ton-iot-ciciot2023
markdown_url: https://scholar4ai.com/datasets/iot-intrusion-data-bot-iot-ton-iot-ciciot2023.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 87 archived papers mentioned IoT intrusion data (Bot-IoT, TON_IoT, CICIoT2023) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them… (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# IoT intrusion data (Bot-IoT, TON_IoT, CICIoT2023)

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/4.md)

Network traffic, intrusion, fraud and anomaly records used to compare detection methods.

- data category: Cybersecurity and anomaly detection benchmarks
- 0 papers in the last 7 days
- Names searched for: Bot-IoT, TON_IoT, ToN-IoT, CICIoT2023, Edge-IIoTset

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Cybersecurity and anomaly detection benchmarks datasets: https://scholar4ai.com/datasets/cybersecurity-and-anomaly-detection-benchmarks.md



## Key findings

- From Nov 2023 to Oct 2026, 87 archived papers mentioned IoT intrusion data (Bot-IoT, TON_IoT, CICIoT2023) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Apr 2025 (9).
- No paper of the tracked journals mentioned IoT intrusion data (Bot-IoT, TON_IoT, CICIoT2023) in the last 30 days (2026-10-07 to 2026-11-05).
- From 2017 to 2026 (so far), IoT intrusion data (Bot-IoT, TON_IoT, CICIoT2023) was mentioned in 102 papers in the tracked journals, most of them in AI (81), information systems (19) and operations research (1).
- 46 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were UNSW Sydney (4), Beijing University of Posts and Telecommunications (3) and The University of Sydney (3).
- The journals publishing most of them were Artificial Intelligence Review (15), Expert Systems with Applications (15) and Computers & Security (10).
- The most-cited of them is “Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction” (Journal Of Big Data, 2024), with 315 citations.
- Papers use IoT intrusion data (Bot-IoT, TON_IoT, CICIoT2023) most often with CIC-IDS2017 / CSE-CIC-IDS2018 (43), NSL-KDD / KDD Cup 99 (36) and UNSW-NB15 (36); it has 8 partners in the code and data network, in the group around NSL-KDD / KDD Cup 99, UNSW-NB15, CIC-IDS2017 /….

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 18 | 41 | 28 | 87 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 0 | 1 | 3 | 6 | 15 | 38 | 18 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 6 | 7 | 1 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| All categories | 0 | 0 | 0 | 2 | 2 | 4 | 7 | 21 | 46 | 20 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 15 |
| 2 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 15 |
| 3 | [Computers & Security](https://scholar4ai.com/journals/computers-security.md) | 10 |
| 4 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 9 |
| 5 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 9 |
| 6 | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 9 |
| 7 | [Information Sciences](https://scholar4ai.com/journals/information-sciences.md) | 6 |
| 8 | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | 3 |
| 9 | [Journal of Industrial Information Integration](https://scholar4ai.com/journals/journal-of-industrial-information-integration.md) | 3 |
| 10 | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 2 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [UNSW Sydney](https://scholar4ai.com/institutions/unsw-sydney.md) | 4 |
| 2 | [Beijing University of Posts and Telecommunications](https://scholar4ai.com/institutions/beijing-university-of-posts-and-telecommunications.md) | 3 |
| 3 | [The University of Sydney](https://scholar4ai.com/institutions/the-university-of-sydney.md) | 3 |
| 4 | UNSW Canberra | 3 |
| 5 | Ajman University | 2 |
| 6 | [Beihang University](https://scholar4ai.com/institutions/beihang-university.md) | 2 |
| 7 | [Dalian University of Technology](https://scholar4ai.com/institutions/dalian-university-of-technology.md) | 2 |
| 8 | [Deakin University](https://scholar4ai.com/institutions/deakin-university.md) | 2 |
| 9 | Edinburgh Napier University | 2 |
| 10 | King Saud University | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 22 |
| 2 | India | 15 |
| 3 | United Kingdom | 12 |
| 4 | Saudi Arabia | 12 |
| 5 | United States | 11 |
| 6 | Australia | 10 |
| 7 | United Arab Emirates | 5 |
| 8 | Egypt | 5 |
| 9 | Pakistan | 5 |
| 10 | Algeria | 4 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | Internet of Things security | 36 |
| 2 | intrusion detection | 29 |
| 3 | ToN-IoT | 25 |
| 4 | [feature selection](https://scholar4ai.com/keywords/feature-selection.md) | 17 |
| 5 | [class imbalance](https://scholar4ai.com/keywords/class-imbalance.md) | 15 |
| 6 | intrusion detection systems | 15 |
| 7 | network traffic classification | 14 |
| 8 | [federated learning](https://scholar4ai.com/keywords/federated-learning.md) | 12 |
| 9 | CICIDS2017 | 11 |
| 10 | UNSW-NB15 | 11 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 315 | 9.7 | [Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction](https://doi.org/10.1186/s40537-024-00886-w) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 2024-02-22 | Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin et al. |
| 2 | 200 | 6.2 | [Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning](https://doi.org/10.1186/s40537-024-00892-y) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 2024-02-24 | Jing Li, Mohd Shahizan Othman, Hewan Chen et al. |
| 3 | 199 | 5.2 | [A stacking ensemble of deep learning models for IoT intrusion detection](https://doi.org/10.1016/j.knosys.2023.110941) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2023-09-01 | Riccardo Lazzarini, Huaglory Tianfield, Vassilis Charissis |
| 4 | 182 | 10.6 | [Transformers and large language models for efficient intrusion detection systems: A comprehensive survey](https://doi.org/10.1016/j.inffus.2025.103347) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2025-05-29 | Hamza Kheddar |
| 5 | 144 | 4.3 | [Dugat-LSTM: Deep learning based network intrusion detection system using chaotic optimization strategy](https://doi.org/10.1016/j.eswa.2023.123027) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2024-01-11 | Ramkumar Devendiran, Anil Vithalrao Turukmane |

## Used together with

Papers use IoT intrusion data (Bot-IoT, TON_IoT, CICIoT2023) most often with CIC-IDS2017 / CSE-CIC-IDS2018 (43), NSL-KDD / KDD Cup 99 (36) and UNSW-NB15 (36); it has 8 partners in the code and data network, in the group around NSL-KDD / KDD Cup 99, UNSW-NB15, CIC-IDS2017 /….

*What papers use IoT intrusion data (Bot-IoT, TON_IoT, CICIoT2023) together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [CIC-IDS2017 / CSE-CIC-IDS2018](https://scholar4ai.com/datasets/cic-ids2017-cse-cic-ids2018.md) | Dataset | 43 | 143.0 |
| [NSL-KDD / KDD Cup 99](https://scholar4ai.com/datasets/nsl-kdd-kdd-cup-99.md) | Dataset | 36 | 72.8 |
| [UNSW-NB15](https://scholar4ai.com/datasets/unsw-nb15.md) | Dataset | 36 | 106.2 |
| [CIFAR-10 / CIFAR-100](https://scholar4ai.com/datasets/cifar-10-cifar-100.md) | Dataset | 8 | 2.7 |
| [MNIST / Fashion-MNIST](https://scholar4ai.com/datasets/mnist-fashion-mnist.md) | Dataset | 8 | 3.4 |
| [Kaggle](https://scholar4ai.com/datasets/kaggle.md) | Dataset | 6 | 4.9 |
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 3 | 0.6 |
| [MODIS](https://scholar4ai.com/datasets/modis.md) | Dataset | 3 | 3.5 |

The whole network: https://scholar4ai.com/code/network.md

## Cite this page

Scholar4AI. (2026). IoT intrusion data (Bot-IoT, TON_IoT, CICIoT2023). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/iot-intrusion-data-bot-iot-ton-iot-ciciot2023

```bibtex
@misc{scholar4ai-datasets-iot-intrusion-data-bot-iot-ton-iot-ciciot2023,
  author = {{Scholar4AI}},
  title = {IoT intrusion data (Bot-IoT, TON_IoT, CICIoT2023)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/iot-intrusion-data-bot-iot-ton-iot-ciciot2023}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).