Cybersecurity and anomaly detection benchmarks

0 papers in the last 7 days · 5 of its 6 datasets mentioned

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

Key findings

Datasets in the category “Cybersecurity and anomaly detection benchmarks” were mentioned in 6 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #45 of the 58 data categories mentioned.
The most-mentioned were UNSW-NB15 (4), CIC-IDS2017 / CSE-CIC-IDS2018 (2), NSL-KDD / KDD Cup 99 (2), Credit card fraud data (Kaggle, PaySim, IEEE-CIS) (1) and Industrial control anomalies (SWaT, WADI) (1).
By journal category: AI (6).
Most of them appeared in Neural Computing and Applications (3), Pattern Recognition (1) and Machine Learning (1).

Datasets

Datasets in this category · 2026-09-27 – 2026-10-26 (30 days)
Dataset	Papers	Names searched for
UNSW-NB15	4	UNSW-NB15
CIC-IDS2017 / CSE-CIC-IDS2018	2	CIC-IDS2017, CICIDS2017, CIC-IDS-2017, CSE-CIC-IDS2018, CIC-IDS2018, CICIDS2018
NSL-KDD / KDD Cup 99	2	NSL-KDD, KDD Cup 99, KDD99, KDDCup99, KDD Cup 1999
Credit card fraud data (Kaggle, PaySim, IEEE-CIS)	1	credit card fraud detection dataset, European cardholders, PaySim, IEEE-CIS
Industrial control anomalies (SWaT, WADI)	1	WADI, SWaT
IoT intrusion data (Bot-IoT, TON_IoT, CICIoT2023)	0	Bot-IoT, TON_IoT, ToN-IoT, CICIoT2023, Edge-IIoTset

Papers mentioning these datasets, newest first.
Date	Title	Journal	Authors	Affiliations	Datasets mentioned
2026-10-09	Reliability-aware dynamic dependency graph neural network for airborne network intrusion detection	Pattern Recognition	Wenqi Liu, Maohui Zhou, Cong Gao et al.	Nanjing University of Aeronautics and Astronautics	UNSW-NB15, CIC-IDS2017 / CSE-CIC-IDS2018
2026-10-01	A domain-aware explainable AI framework for multi-class intrusion detection with cybersecurity-oriented semantic interpretation	Neural Computing and Applications	Salah ElDin Zaher Olaymi	Taibah University	UNSW-NB15, CIC-IDS2017 / CSE-CIC-IDS2018
2026-10-01	A comprehensive empirical evaluation of quantum machine learning for financial prediction: systematic comparison with classical approaches	Neural Computing and Applications	Raed Abu Zitar, Samia Loucif, Murad M. Al-Rajab et al.	Liwa University; Zayed University; Abu Dhabi University; …	Credit card fraud data (Kaggle, PaySim, IEEE-CIS)
2026-10-01	A Synergistic approach: blockchain-integrated machine learning based intrusion detection system for improving wireless network security	Neural Computing and Applications	Walaa M. Elsayed	Damanhour University	NSL-KDD / KDD Cup 99, UNSW-NB15
2026-10-01	Addressing Methodological Challenges in Time Series Anomaly Detection	Machine Learning	Nancy Xu, Henrik Boström		Industrial control anomalies (SWaT, WADI)
2026-10-01	Multi-view self-supervised learning for label-flipping robustness in tabular data: a comparative study	Applied Intelligence	Jinhyeok Jang, Sohee Park, Seung-Soo Nam et al.	Soongsil University	NSL-KDD / KDD Cup 99, UNSW-NB15

Cite this page

Scholar4AI. (2026). Cybersecurity and anomaly detection benchmarks. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/datasets/cybersecurity-and-anomaly-detection-benchmarks

@misc{scholar4ai-datasets-cybersecurity-and-anomaly-detection-benchmarks,
  author = {{Scholar4AI}},
  title = {Cybersecurity and anomaly detection benchmarks},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/cybersecurity-and-anomaly-detection-benchmarks}},
  urldate = {2026-10-26},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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