Detection of HTTPS Brute-Force Attacks with Packet-Level Feature Set
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F21%3A00346587" target="_blank" >RIV/68407700:21240/21:00346587 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/CCWC51732.2021.9375998" target="_blank" >https://doi.org/10.1109/CCWC51732.2021.9375998</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CCWC51732.2021.9375998" target="_blank" >10.1109/CCWC51732.2021.9375998</a>
Alternative languages
Result language
angličtina
Original language name
Detection of HTTPS Brute-Force Attacks with Packet-Level Feature Set
Original language description
This paper presents a novel approach to detect brute-force attacks against web services in high-speed networks. The prevalence of brute-force attacks is so high that service providers, such as ISPs or web-hosting providers, cannot depend on their customers' host-based defenses. Moreover, the rising usage of encryption makes it more difficult to detect attacks on the network level. In our research, we created a dataset, which consists of 1.8 million extended IP flows from a backbone network combined with IP flows generated with three popular open-source brute-forcing tools. We identified a distinctive packet-level feature set and trained a machine-learning classifier with a false positive rate of 10^-4 and a true positive rate (the ratio of discovered attacks) of 0.938. The achieved results surpass the state-of-the-art solutions and show that the developed HTTPS brute-force detection algorithm is viable for production deployment.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
11th Annual Computing and Communication Workshop and Conference (CCWC2021)
ISBN
978-0-7381-4394-1
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
0115-0123
Publisher name
IEEE
Place of publication
Piscataway (New Jersey)
Event location
Las Vegas
Event date
Jan 27, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000668575500019