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Woodiss-Field et al., 2021 - Google Patents

Towards evaluating the effectiveness of botnet detection techniques

Woodiss-Field et al., 2021

Document ID
14218199093733050564
Author
Woodiss-Field A
Johnstone M
Haskell-Dowland P
Publication year
Publication venue
Inernational Conference on Ubiquitous Security

External Links

Snippet

Botnets are a group of compromised devices taken over and commanded by a malicious actor known as a botmaster. In recent years botnets have targeted Internet of Things (IoT) devices, significantly increasing their ability to cause disruption due to the scale of the IoT …
Continue reading at link.springer.com (other versions)

Classifications

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    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
    • H04L63/1425—Traffic logging, e.g. anomaly detection
    • H—ELECTRICITY
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    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
    • H04L63/1416—Event detection, e.g. attack signature detection
    • H—ELECTRICITY
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    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1441—Countermeasures against malicious traffic
    • H04L63/1458—Denial of Service
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    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
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    • H04L63/145—Countermeasures against malicious traffic the attack involving the propagation of malware through the network, e.g. viruses, trojans or worms
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    • G06F21/56—Computer malware detection or handling, e.g. anti-virus arrangements
    • G06F21/562—Static detection
    • G06F21/563—Static detection by source code analysis
    • H—ELECTRICITY
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    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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    • H04L2463/00—Additional details relating to network architectures or network communication protocols for network security covered by H04L63/00
    • H04L2463/141—Denial of service attacks against endpoints in a network

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