2021Unpublished venueRequires access

Botnet Detection Based On Network Traffic Flow Statistical Features and Model Based Clustering

G. Kirubavathi, S. Nalini

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Abstract

Botnet is one of the maximum dangerous threats to cybersecurity and cyberspace, imparting a disbursed platform for multiple unlawful activities, consisting of DDoS, spamming, phishing, click on fraud, identification theft, etc. Regardless of several strategies had been proposed to discover botnets,

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What this paper is about

Botnet is one of the maximum dangerous threats to cybersecurity and cyberspace, imparting a disbursed platform for multiple unlawful activities, consisting of DDoS, spamming, phishing, click on fraud, identification theft, etc. Regardless of several strategies had been proposed to discover botnets,

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Available abstract

Botnet is one of the maximum dangerous threats to cybersecurity and cyberspace, imparting a disbursed platform for multiple unlawful activities, consisting of DDoS, spamming, phishing, click on fraud, identification theft, etc. Regardless of several strategies had been proposed to discover botnets,

Key concepts: Botnet, Spamming, Phishing, Computer security, Cyberspace, Computer science, Identification (biology), Cluster analysis

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