Time series dataset for network security situational awareness
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F25%3A10133784" target="_blank" >RIV/63839172:_____/25:10133784 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2352340925010996" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2352340925010996</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.dib.2025.112386" target="_blank" >10.1016/j.dib.2025.112386</a>
Alternative languages
Result language
angličtina
Original language name
Time series dataset for network security situational awareness
Original language description
In the field of network security situational awareness (NSSA), it is challenging to find a usable dataset. Most of the datasets used in existing research papers are outdated, small, publicly unavailable due to the private infrastructure on which they were created, or unusable for other reasons. This paper presents a new dataset derived from a well-documented and substantial source, suitable for use with neural networks that require larger datasets than classical machine learning approaches. This dataset can help the research community in various ways. The dataset consists of four parts, each containing the time series generated from cybersecurity alerts collected between 2017 and 2018 and between 2023 and 2024. Alerts were collected from the Warden system, which collects and shares information about security events detected by various security systems across multiple organizations. These are data whose labeling is performed by the detection system itself (silver standard). In total, about three billion alerts were collected and processed to time series.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LM2023054" target="_blank" >LM2023054: e-Infrastructure CZ</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Data in Brief
ISSN
2352-3409
e-ISSN
—
Volume of the periodical
64
Issue of the periodical within the volume
nečíslováno
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
17
Pages from-to
nestránkováno
UT code for WoS article
001663507600010
EID of the result in the Scopus database
2-s2.0-105025653296