---
title: "CIC-IDS2017 / CSE-CIC-IDS2018: papers using it"
description: "From Nov 2023 to Oct 2026, 96 archived papers mentioned CIC-IDS2017 / CSE-CIC-IDS2018 in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Apr 2025 (8)."
url: https://scholar4ai.com/datasets/cic-ids2017-cse-cic-ids2018
markdown_url: https://scholar4ai.com/datasets/cic-ids2017-cse-cic-ids2018.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 96 archived papers mentioned CIC-IDS2017 / CSE-CIC-IDS2018 in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Apr 2025 (8). (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)
---

# CIC-IDS2017 / CSE-CIC-IDS2018

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/2.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: CIC-IDS2017, CICIDS2017, CIC-IDS-2017, CSE-CIC-IDS2018, CIC-IDS2018, CICIDS2018

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, 96 archived papers mentioned CIC-IDS2017 / CSE-CIC-IDS2018 in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Apr 2025 (8).
- CIC-IDS2017 / CSE-CIC-IDS2018 was mentioned in 1 paper in the last 30 days (2026-10-07 to 2026-11-05), ranking #165 of the 246 datasets mentioned.
- By journal category: Information Systems (1).
- Most of them appeared in Computers & Security (1).
- From 2017 to 2026 (so far), CIC-IDS2017 / CSE-CIC-IDS2018 was mentioned in 141 papers in the tracked journals, most of them in AI (105), information systems (35) and operations research (1).
- 36 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Imam Mohammad ibn Saud Islamic University (3), Al-Balqa Applied University (2) and Beihang University (2).
- The journals publishing most of them were Computers & Security (21), Neural Computing and Applications (17) and Artificial Intelligence Review (14).
- The most-cited of them is “A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions” (Artificial Intelligence Review, 2021), with 355 citations.
- Papers use CIC-IDS2017 / CSE-CIC-IDS2018 most often with NSL-KDD / KDD Cup 99 (65), UNSW-NB15 (53) and IoT intrusion data (Bot-IoT, TON_IoT, CICIoT2023) (43); it has 10 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 |
|---|---:|---:|---:|---:|
|  | 29 | 38 | 29 | 96 |

## 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 | 3 | 8 | 6 | 10 | 23 | 33 | 22 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 1 | 2 | 3 | 3 | 11 | 7 | 3 | 5 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| All categories | 0 | 0 | 1 | 5 | 11 | 9 | 22 | 30 | 36 | 27 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Computers & Security](https://scholar4ai.com/journals/computers-security.md) | 21 |
| 2 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 17 |
| 3 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 14 |
| 4 | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 14 |
| 5 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 12 |
| 6 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 10 |
| 7 | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 6 |
| 8 | [Telematics and Informatics Reports](https://scholar4ai.com/journals/telematics-and-informatics-reports.md) | 4 |
| 9 | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 3 |
| 10 | [Information Sciences](https://scholar4ai.com/journals/information-sciences.md) | 2 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | Imam Mohammad ibn Saud Islamic University | 3 |
| 2 | Al-Balqa Applied University | 2 |
| 3 | [Beihang University](https://scholar4ai.com/institutions/beihang-university.md) | 2 |
| 4 | [Beijing University of Posts and Telecommunications](https://scholar4ai.com/institutions/beijing-university-of-posts-and-telecommunications.md) | 2 |
| 5 | [Deakin University](https://scholar4ai.com/institutions/deakin-university.md) | 2 |
| 6 | Edinburgh Napier University | 2 |
| 7 | King Faisal University | 2 |
| 8 | King Saud University | 2 |
| 9 | Koneru Lakshmaiah Education Foundation | 2 |
| 10 | [Lancaster University](https://scholar4ai.com/institutions/lancaster-university.md) | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 25 |
| 2 | India | 15 |
| 3 | Saudi Arabia | 12 |
| 4 | United Kingdom | 10 |
| 5 | United States | 8 |
| 6 | Jordan | 7 |
| 7 | Pakistan | 7 |
| 8 | Australia | 6 |
| 9 | United Arab Emirates | 5 |
| 10 | Egypt | 5 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | CICIDS2017 | 44 |
| 2 | intrusion detection | 38 |
| 3 | network intrusion detection | 30 |
| 4 | Internet of Things security | 24 |
| 5 | network traffic classification | 24 |
| 6 | CSE-CIC-IDS2018 | 23 |
| 7 | [feature selection](https://scholar4ai.com/keywords/feature-selection.md) | 19 |
| 8 | NSL-KDD dataset | 17 |
| 9 | [class imbalance](https://scholar4ai.com/keywords/class-imbalance.md) | 16 |
| 10 | intrusion detection systems | 16 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 355 | 5.5 | [A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions](https://doi.org/10.1007/s10462-021-10037-9) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2021-07-01 | Ankit Thakkar, Ritika Lohiya |
| 2 | 338 | 4.9 | [Dynamically Weighted Balanced Loss: Class Imbalanced Learning and Confidence Calibration of Deep Neural Networks](https://doi.org/10.1109/tnnls.2020.3047335) | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2021-01-14 | K. Ruwani M. Fernando, Chris P. Tsokos |
| 3 | 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. |
| 4 | 269 | 3.8 | [A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big Data](https://doi.org/10.1186/s40537-020-00382-x) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 2020-11-23 | Joffrey L. Leevy, Taghi M. Khoshgoftaar |
| 5 | 266 | 6.0 | [DCNNBiLSTM: An Efficient Hybrid Deep Learning-Based Intrusion Detection System](https://doi.org/10.1016/j.teler.2023.100053) | [Telematics and Informatics Reports](https://scholar4ai.com/journals/telematics-and-informatics-reports.md) | 2023-03-07 | Vanlalruata Hnamte, Jamal Hussain |

## Used together with

Papers use CIC-IDS2017 / CSE-CIC-IDS2018 most often with NSL-KDD / KDD Cup 99 (65), UNSW-NB15 (53) and IoT intrusion data (Bot-IoT, TON_IoT, CICIoT2023) (43); it has 10 partners in the code and data network, in the group around NSL-KDD / KDD Cup 99, UNSW-NB15, CIC-IDS2017 /….

*What papers use CIC-IDS2017 / CSE-CIC-IDS2018 together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [NSL-KDD / KDD Cup 99](https://scholar4ai.com/datasets/nsl-kdd-kdd-cup-99.md) | Dataset | 65 | 95.1 |
| [UNSW-NB15](https://scholar4ai.com/datasets/unsw-nb15.md) | Dataset | 53 | 113.1 |
| [IoT intrusion data (Bot-IoT, TON_IoT, CICIoT2023)](https://scholar4ai.com/datasets/iot-intrusion-data-bot-iot-ton-iot-ciciot2023.md) | Dataset | 43 | 143.0 |
| [Kaggle](https://scholar4ai.com/datasets/kaggle.md) | Dataset | 8 | 4.7 |
| [CIFAR-10 / CIFAR-100](https://scholar4ai.com/datasets/cifar-10-cifar-100.md) | Dataset | 6 | 1.5 |
| [MNIST / Fashion-MNIST](https://scholar4ai.com/datasets/mnist-fashion-mnist.md) | Dataset | 5 | 1.5 |
| [MODIS](https://scholar4ai.com/datasets/modis.md) | Dataset | 4 | 3.3 |
| [UCI Machine Learning Repository](https://scholar4ai.com/datasets/uci-machine-learning-repository.md) | Dataset | 4 | 2.1 |
| [Hugging Face Hub](https://scholar4ai.com/datasets/hugging-face-hub.md) | Dataset | 3 | 2.2 |
| [lightgbm-org/LightGBM](https://scholar4ai.com/code/github-lightgbm-org-lightgbm.md) | Code repository | 3 | 113.1 |

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

## Papers

*Papers mentioning CIC-IDS2017 / CSE-CIC-IDS2018 in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-24 | [How evaluation protocol choices inflate intrusion detection accuracy: A three-dataset systematic study](https://doi.org/10.1016/j.cose.2026.105218) | [Computers & Security](https://scholar4ai.com/journals/computers-security.md) | Mohammed BERHILI, Omar Chaieb, Mohammed Benabdellah | Mohamed I University |

## Cite this page

Scholar4AI. (2026). CIC-IDS2017 / CSE-CIC-IDS2018. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/cic-ids2017-cse-cic-ids2018

```bibtex
@misc{scholar4ai-datasets-cic-ids2017-cse-cic-ids2018,
  author = {{Scholar4AI}},
  title = {CIC-IDS2017 / CSE-CIC-IDS2018},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/cic-ids2017-cse-cic-ids2018}},
  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/).