Woodiss-Field et al., 2021 - Google Patents
Towards evaluating the effectiveness of botnet detection techniquesWoodiss-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 …
Classifications
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- 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
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- G06F21/55—Detecting local intrusion or implementing counter-measures
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- G06F21/562—Static detection
- G06F21/563—Static detection by source code analysis
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