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Domain generation algorithm detection using machine learning methods
Moran Baruch
, Gil David
University of Jyväskylä
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
›
peer-review
9
Scopus citations
Overview
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Dive into the research topics of 'Domain generation algorithm detection using machine learning methods'. Together they form a unique fingerprint.
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Keyphrases
Machine Learning Techniques
100%
Botnet
100%
Domain Name
100%
Domain Generation Algorithm
100%
Malicious Behavior
66%
Pseudorandomness
33%
Unsupervised Method
33%
Spam
33%
Generation Algorithm
33%
Command-and-control
33%
Zeus
33%
Unsupervised Model
33%
Distributed Denial of Service (DDoS)
33%
Cybercrime
33%
DNS Server
33%
Compromised Host
33%
Cryptolocker
33%
Supervised Techniques
33%
Control Server
33%
Zero-day
33%
Conficker
33%
Domain Flux
33%
Malicious Software
33%
Name Generation
33%
Supervised Model
33%
Computer Science
Machine Learning
100%
Botnets
100%
Domain Name
100%
Detection Algorithm
100%
Malicious Activity
66%
Malware
33%
Unsupervised Method
33%
spam
33%
Distributed Denial of Service Attack
33%
Cybercriminals
33%
Avoid Detection
33%
Supervised Technique
33%
Compromised Host
33%
Infected Computer
33%