Hornet 40: Network Dataset of Geographically Placed Honeypots
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00354948" target="_blank" >RIV/68407700:21230/22:00354948 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.dib.2022.107795" target="_blank" >https://doi.org/10.1016/j.dib.2022.107795</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.dib.2022.107795" target="_blank" >10.1016/j.dib.2022.107795</a>
Alternative languages
Result language
angličtina
Original language name
Hornet 40: Network Dataset of Geographically Placed Honeypots
Original language description
Deception technologies, and honeypots in particular, have been used for decades to understand how cyber attacks and attackers work. A myriad of factors impact the effectiveness of a honeypot. However, very few is known about the impact of the geographical location of honeypots on the amount and type of attacks. Hornet 40 is the first dataset designed to help understand how the geolocation of honeypots may impact the inflow of network attacks. The data consists of network flows in binary and text format, with up to 118 features, including 480 bytes of the content of each flow. They were created using the Argus flow collector. The passive honeypots are IP addresses connected to the Internet and do not have any honeypot software running, so attacks are not interactive. The data was collected from identically configured honeypot servers in eight locations: Amsterdam, Bangalore, Frankfurt, London, New York, San Francisco, Singapore, and Toronto. The dataset contains over 4.7 million network flows collected during forty days throughout April, May, and June 2021.
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
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
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
40
Issue of the periodical within the volume
February
Country of publishing house
CH - SWITZERLAND
Number of pages
10
Pages from-to
1-10
UT code for WoS article
000787646200036
EID of the result in the Scopus database
2-s2.0-85123934105