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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Dataset of "Exploring the Landscape and Severity of Distributed Denial of Service Attacks"

Authors: Mlýnek, Petr; Fujdiak, Radek; Bouzek, Karel; Carda, Michal;

Dataset of "Exploring the Landscape and Severity of Distributed Denial of Service Attacks"

Abstract

The Internet of Things and Operational Technology technologies allow the Internet to be connected to a wide range of devices. The use of the Internet not only enables the management of these connected devices and the transmission of information through various devices but also exposes them to security threats. These threats include, but are not limited to, Denial of Service (DoS) attacks. Some attacks target specific types of devices, services, or web server versions. In this paper, we have enumerated and compared the most well-known (D)DoS attacks. Our paper provides a wide area of (D)DoS attacks sorted by ISO/OSI layers. Each listed attack is described, detection and mitigation techniques are presented, and a simulation tool capable of generating attacks is also presented. In total, we have focused on 46 attacks. In addition, a simulation of selected DoS, DDoS, and slow DoS attacks is carried out in an experimental setup workstation, and the impacts are compared.

Related Organizations
Keywords

mitigation, flooding, detection, VUT, 214 021, DoS, DDoS, VZ6

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average