17 datasets

figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">Slide show for illustrative purpose - Democracy Now - Pre Print Review 2026</p>

ZivaHub + Deakin Research Online + DMU Figshare + UCL Research Data Repository2026 · dataset · unknown

Over the past decade, cyber threats have significantly evolved in persistence and sophistication. Malware has been the primary choice of weapon to carry out various cyberattacks. Host-based malware detection, as the primary line of defence, evolved into the \Achilles Heel". In particular, the increase of security-aware targeted attacks, comprises of reconnaissance and delivery phases, are capable

ZivaHub + Deakin Research Online + DMU Figshare + UCL Research Data Repository2026 · dataset · unknown

Data exfiltration has been a lucrative goal for malicious actors for many years, leading to a cycle of detection and avoidance that has driven the evolution of data exfiltration attacks. According to a 2019 Radware report, protecting private data was the highest area of investment for cyber security. This should come as no surprise due to the impact that data breaches can have at a private and cor

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">Advanced metering infrastructure (AMI) relies on continuous communication among smart meters, gateways, routers, and utility monitoring systems, increasing exposure to distributed denial-of-service (DDoS) traffic. This study presents a system-level intrusion-detection methodology integrating coverage-aware sensor placement with leakage-controlled gradient-boosted classification. The c

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">In the security domain, tabular datasets for state-of-the-art are not publicly available and this dataset aims to provide to the community with a new resource consisting of 2,500 tables, 15k entities constructed using security data extracted from CVE, CWE, CPE, CAPEC and annotated using Wikidata and SEPSES knowledge graphs. SEmantic Processing of Security Event Streams CyberSecurity K

figshare2026 · Astronomical catalogue

<p dir="ltr">Reproducibility supplement accompanying "Evaluating ColBERT for Cyber Threat Intelligence: Supervision and Coverage in ATT&CK Mapping" by Eshan Ahmad, Department of Computer Science, University of Nevada, Las Vegas. This deposit contains the source-separated ATT&CK technique-mapping benchmark, a designed 50-label exclusion evaluation, experiment code, saved model scores, statistical c

Teesside University Research Data Repository2026 · dataset

This dataset accompanies the manuscript "Directional Transfer in Cross-Network Intrusion Detection: A Layered Architecture Evaluated Against Mandatory Controls." It contains the code and data needed to reproduce every numeric claim in the paper. DATA (data/): the six network-intrusion domains used in the study (CICIoT2023, Gotham2025, NF-ToN-IoT-v2, NF-UNSW-NB15-v2, NSL-KDD, UNSW-NB15-classic) at

Teesside University Research Data Repository2026 · dataset

Distributed Denial of Service (DDoS) attacks aim to disrupt networked services by overwhelming server resources, thereby preventing legitimate users from accessing critical applications. Among various attack vectors, TCP-based flooding attacks remain particularly impactful due to the widespread use of the Transmission Control Protocol in reliable Internet services such as web applications, cloud b

e-cienciaDatos2026 · dataset · unknown

Los datos recogidos en este dataset representan las métricas de centralidad asociadas al grafo que representa una red de comunicaciones de dispositivos IoT. La estructura de la red se ha inferido a parir de ACI IoT Network Traffic Dataset 2023, preparado por Internet of Things Research Lab (IoTRL). Los datos preparados tienen por objetivo facilitar los estudios en el ámbito de la Ciberseguridad

Teesside University Research Data Repository2025 · dataset

This dataset, titled IDS2025: Balanced Intrusion Detection Evaluation Dataset, is an enhanced and refined version of the original CICIDS2017 dataset, designed specifically for research and development in Intrusion Detection Systems (IDS). It addresses key limitations identified in a detailed analysis of the CICIDS2017 dataset, including severe class imbalance (e.g., Benign traffic dominating at 83

Teesside University Research Data Repository2025 · dataset

CICIDS2017-DOS (MB) represents the moderately balanced version of the DoS-specific subset derived from the CICIDS2017 dataset. This version maintains all six traffic categories found in the PB dataset, including benign traffic and the five DoS attack types: DDoS, DoS GoldenEye, DoS Hulk, DoS Slowloris, and DoS SlowHTTPTest. Unlike the perfectly balanced distribution in the PB dataset, the MB datas

Teesside University Research Data Repository2025 · dataset

IDS

Teesside University Research Data Repository2025 · dataset

This database consists of data extracted from sources analyzed within the scope of the authors' research project titled "Russian School of Intelligence Theory". The dataset contains data related to the research subject, specifically concerning the courses taught at the KGB Higher School and the Andropov Institute (including course names, contents, and related details). The data were compiled by ma

Teesside University Research Data Repository2022 · dataset

Geolocation IP Datasets G7, G15, and G40 for Hornet 7, Hornet 15, and Hornet 40 Datasets The G7.csv, G15.csv, and G40.csv files contain geolocation Information for all resolvable Distinct Source IP Addresses for Hornet 7 [1], Hornet 15 [2], and Hornet 40 [3] datasets created by Valeros, Veronica in 2021. The influence of geo-economics on cyberattacks is being investigated. The datasets consists of

Teesside University Research Data Repository2020 · dataset

This dataset comprise of experimental results for "IPsec for High speed Network Links: Performance Analysis and Enhancements".

Teesside University Research Data Repository2019 · dataset

Drone data.

Teesside University Research Data Repository2019 · dataset · unknown

It contains the dataset used for the experimentation. Specifically, there are two text files, each containing 32000 different domain names. One file is clean domain names, the other file contains DGA domains.