Botnets are widely used for acquiring economic profits, by launching attacks such as
distributed denial-of-service (DDoS), identification theft, ad-ware installation, mass
spamming, and click frauds. Many approaches have been proposed to detect botnet, which
rely on end-host installations or operate on network traffic with deep packet inspection. They
have limitations for detecting botnets which use evasion techniques such as packet
encryption, fast flux, dynamic DNS and DGA. Sporadic botnet behavior caused by …

ScholarWorks@Korea University: PsyBoG: Power Spectral Density Analysis for Detecting
Botnet Groups … PsyBoG: Power Spectral Density Analysis for Detecting Botnet
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